Load data from data frame into SQLite table

So I have data in text file like this:

TRMMQMI12903CE2A25<SEP>SOCBYZN12AB0189CFC<SEP>Arthur Adams<SEP>Callin' Heaven
TRMMQUA128F425761E<SEP>SOEDQXW12A8AE458B8<SEP>Wesley Willis<SEP>Jesus Christ
TRMMQXZ128F92D0A0E<SEP>SOQVOIM12A8C140DF9<SEP>Manjul<SEP>Hungry Belly
TRMMZRE128F42B799E<SEP>SOHLRUF12A8C13F0FF<SEP>Daniel Balavoine<SEP>Sauver L'Amour
TRMMZJO128F42434B2<SEP>SOTFIKQ12A6D4FB45F<SEP>Sandhy SonDoro<SEP>Don�t Let It Bring You Down
TRMMZSA128F4233C55<SEP>SOBXHIT12A8C130F59<SEP>Willie "Big Eyes" Smith<SEP>Tell Me Mama

I managed to load it into pandas data frame like this:

data = pd.read_table('unique_tracks.txt', header=None, sep='<SEP>', engine='python')

and the data that I get from this looks like this:

0       TRMMMYQ128F932D901  ...                         Silent Night
1       TRMMMKD128F425225D  ...                          Tanssi vaan
2       TRMMMRX128F93187D9  ...                    No One Could Ever
3       TRMMMCH128F425532C  ...                        Si Vos Quer�s
4       TRMMMWA128F426B589  ...                     Tangle Of Aspens

I also created my table like this:

import sqlite3
from sqlite3 import Error
import pandas as pd


def create_connection(db_file):
    """ create a database connection to the SQLite database
        specified by db_file
    :param db_file: database file
    :return: Connection object or None
    """
    conn = None
    try:
        conn = sqlite3.connect(db_file)
        return conn
    except Error as e:
        print(e)

    return conn

def create_table(conn, create_table_sql):
    """ create a table from the create_table_sql statement
    :param conn: Connection object
    :param create_table_sql: a CREATE TABLE statement
    :return:
    """
    try:
        c = conn.cursor()
        c.execute(create_table_sql)
    except Error as e:
        print(e)

def main():
    database = r"Data_db.db"

    sql_create_songs_table = """ CREATE TABLE IF NOT EXISTS songs (
                                        id integer PRIMARY KEY,
                                        execution_id text NOT NULL,
                                        song_id text NOT NULL,
                                        artist_id text NOT NULL,
                                        song_title text NOT NULL
                                    ); """

    # create a database connection
    conn = create_connection(database)

    # create tables
    if conn is not None:
        # create projects table
        create_table(conn, sql_create_songs_table)

        # create tasks table
        create_table(conn, sql_create_users_table)
    else:
        print("Error! cannot create the database connection.")

if __name__ == '__main__':
    main()

create_connection(r"Data_db.db")

My question is how I can load data from my data frame into table ? Is there a difference between pd.read_table and pd.read_csv when It comes to loading data into a db ?