C++11, 221 bytes

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=M_PI_2*acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

So this is a straight out implementation of the right algorithm from the wikipedia page. The main problem here in golfing is the oh-so-freaking-long names that the random generator classes have. But, in contrast to good ol' rand, it is at least properly uniform.

Explanation:

#include<random>
#include<iostream>
#include<cmath>
int main()
{
    using namespace std;
    int n;
    cin>>n; // Input number
    random_device r; // Get a random number generator
    uniform_real_distribution<> d;   // Get a uniform distribution of 
                                     // floats between 0 and 1
    for(;n;--n)
    {
        float x = 2*M_PI*d(r),       // x: Chosen radius angle
              y = M_PI_2*acos(d(r)); // y: Take the distance from the center and 
                                     // apply it an inverse cosine, to get the rotation

        cout<<x+y<<' '<<x-y<<';';    // Print the two numbers: they are the rotation
                                     // of the radius +/- the rotation extracted from
                                     // the distance to the center
    }
}

C++11, 214 bytes

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

So this is a straight out implementation of the right algorithm from the wikipedia page. The main problem here in golfing is the oh-so-freaking-long names that the random generator classes have. But, in contrast to good ol' rand, it is at least properly uniform.

Explanation:

#include<random>
#include<iostream>
#include<cmath>
int main()
{
    using namespace std;
    int n;
    cin>>n; // Input number
    random_device r; // Get a random number generator
    uniform_real_distribution<> d;   // Get a uniform distribution of 
                                     // floats between 0 and 1
    for(;n;--n)
    {
        float x = 2*M_PI*d(r),       // x: Chosen radius angle
              y = acos(d(r));        // y: Take the distance from the center and 
                                     // apply it an inverse cosine, to get the rotation

        cout<<x+y<<' '<<x-y<<';';    // Print the two numbers: they are the rotation
                                     // of the radius +/- the rotation extracted from
                                     // the distance to the center
    }
}

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=M_PI_2*acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

#include<random>
#include<iostream>
#include<cmath>
int main()
{
    using namespace std;
    int n;
    cin>>n; // Input number
    random_device r; // Get a random number generator
    uniform_real_distribution<> d;   // Get a uniform distribution of 
                                     // floats between 0 and 1
    for(;n;--n)
    {
        float x = 2*M_PI*d(r),       // x: Chosen radius angle
              y = M_PI_2*acos(d(r)); // y: Take the distance from the center and 
                                     // apply it an inverse cosine, to get the rotation

        cout<<x+y<<' '<<x-y<<';';    // Print the two numbers: they are the rotation
                                     // of the radius +/- the rotation extracted from
                                     // the distance to the center
    }
}

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=M_PI_2*acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

#include<random>
#include<iostream>
#include<cmath>
int main()
{
    using namespace std;
    int n;
    cin>>n; // Input number
    random_device r; // Get a random number generator
    uniform_real_distribution<> d;   // Get a uniform distribution of 
                                     // floats between 0 and 1
    for(;n;--n)
    {
        float x = 2*M_PI*d(r),       // x: Chosen radius angle
              y = M_PI_2*acos(d(r)); // y: Take the distance from the center and 
                                     // apply it an inverse cosine, to get the rotation

        cout<<x+y<<' '<<x-y<<';';    // Print the two numbers: they are the rotation
                                     // of the radius +/- the rotation extracted from
                                     // the distance to the center
    }
}

C++11, 221 bytes

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=M_PI_2*acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

So this is a straight out implementation of the right algorithm from the wikipedia page. The main problem here in golfing is the oh-so-freaking-long names that the random generator classes have. But, in contrast to good ol' rand, it is at least properly uniform.

C++11, 221 bytes

#include<random>
#include<iostream>
#include<cmath>
int main(){using namespace std;int n;cin>>n;random_device r;uniform_real_distribution<> d;for(;n;--n){float x=2*M_PI*d(r),y=M_PI_2*acos(d(r));cout<<x+y<<' '<<x-y<<';';}}

So this is a straight out implementation of the right algorithm from the wikipedia page. The main problem here in golfing is the oh-so-freaking-long names that the random generator classes have. But, in contrast to good ol' rand, it is at least properly uniform.

Explanation:

#include<random>
#include<iostream>
#include<cmath>
int main()
{
    using namespace std;
    int n;
    cin>>n; // Input number
    random_device r; // Get a random number generator
    uniform_real_distribution<> d;   // Get a uniform distribution of 
                                     // floats between 0 and 1
    for(;n;--n)
    {
        float x = 2*M_PI*d(r),       // x: Chosen radius angle
              y = M_PI_2*acos(d(r)); // y: Take the distance from the center and 
                                     // apply it an inverse cosine, to get the rotation

        cout<<x+y<<' '<<x-y<<';';    // Print the two numbers: they are the rotation
                                     // of the radius +/- the rotation extracted from
                                     // the distance to the center
    }
}