### Description

Authentication using OAuth for Databricks Service Principals is now in Public Preview.  I would like to implement this into the Databricks Hook.   By adding "service_principal_oauth" as a boolean value set to `true` in the extra configuration, the Client Id and Client Secret can be supplied as a username and password.

https://docs.databricks.com/dev-tools/authentication-oauth.html

### Use case/motivation

Before Authentication using Oauth the only way to use the Databricks Service Principals was by another user account performing a token request on-behalf of the Service Principal.  This process is difficult to utilize in the real world, but this new way of collecting access tokens changes the process and should make a big difference.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

@provide_session
    def setup_method(self, method, session=None):
        conn = session.query(Connection).filter(Connection.conn_id == DEFAULT_CONN_ID).first()
        conn.extra = json.dumps({"token": TOKEN})
        session.commit()
        self.hook = DatabricksHook()
class TestRunState:
    def test_is_terminal_true(self):
        terminal_states = ["TERMINATED", "SKIPPED", "INTERNAL_ERROR"]
        for state in terminal_states:
            run_state = RunState(state, "", "")
            assert run_state.is_terminal
    def test_is_terminal_false(self):
        non_terminal_states = ["PENDING", "RUNNING", "TERMINATING"]
        for state in non_terminal_states:
            run_state = RunState(state, "", "")
            assert not run_state.is_terminal
    def test_is_terminal_with_nonexistent_life_cycle_state(self):
        run_state = RunState("blah", "", "")
        with pytest.raises(AirflowException):
            assert run_state.is_terminal
    def test_is_successful(self):