### Description

Add Databricks Cluster API in Databricks Hook


### Use case/motivation

Databricks provider lacks [Cluster API](https://docs.databricks.com/dev-tools/api/latest/clusters.html) access to allow
to CRUD cluster as well as manage clusters (start/restart/delete/...)
Those API are very convenient to control clusters (get status, force shutdown...) and to optimize some specific flows (scale cluster in advance when a coming need is detected )

### Related issues

none

### 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_TOKEN_SERVICE_URL,
    DEFAULT_DATABRICKS_SCOPE,
    OIDC_TOKEN_SERVICE_URL,
    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"