### 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)

AZURE_METADATA_SERVICE_INSTANCE_URL,
    AZURE_TOKEN_SERVICE_URL,
    DEFAULT_DATABRICKS_SCOPE,
    TOKEN_REFRESH_LEAD_TIME,
    BearerAuth,
)
from airflow.utils.session import provide_session
TASK_ID = "databricks-operator"
DEFAULT_CONN_ID = "databricks_default"
NOTEBOOK_TASK = {"notebook_path": "/test"}
SPARK_PYTHON_TASK = {"python_file": "test.py", "parameters": ["--param", "123"]}
NEW_CLUSTER = {"spark_version": "2.0.x-scala2.10", "node_type_id": "r3.xlarge", "num_workers": 1}
CLUSTER_ID = "cluster_id"
RUN_ID = 1
JOB_ID = 42
JOB_NAME = "job-name"
DEFAULT_RETRY_NUMBER = 3
DEFAULT_RETRY_ARGS = dict(
    wait=tenacity.wait_none(),
    stop=tenacity.stop_after_attempt(DEFAULT_RETRY_NUMBER),
)
HOST = "xx.cloud.databricks.com"
HOST_WITH_SCHEME = "https://xx.cloud.databricks.com"
LOGIN = "login"
PASSWORD = "password"
TOKEN = "token"
RUN_PAGE_URL = "https://XX.cloud.databricks.com/#jobs/1/runs/1"
LIFE_CYCLE_STATE = "PENDING"
STATE_MESSAGE = "Waiting for cluster"
ERROR_MESSAGE = "error message from databricks API"