### Apache Airflow version

2.6.1

### What happened

After upgrading to 2.6.1, GKEStartPodOperator stopped creating pods. According with release notes we created a specific gcp connection. But connection defaults to GKE Public endpoint (in error message masked as XX.XX.XX.XX) instead of private IP which is best since our cluster do not have public internet access.

[2023-05-17T07:02:33.834+0000] {connectionpool.py:812} WARNING - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f0e47049ba0>, 'Connection to XX.XX.XX.XX timed out. (connect timeout=None)')': /api/v1/namespaces/airflow/pods?labelSelector=dag_id%3Dmytask%2Ckubernetes_pod_operator%3DTrue%2Crun_id%3Dscheduled__2023-05-16T0700000000-8fb0e9fa9%2Ctask_id%3Dmytask%2Calready_checked%21%3DTrue%2C%21airflow-sa
 
Seems like with this change "use_private_ip" has been deprecated, what would be the workaround in this case then to connect using private endpoint?

Also doc has not been updated to reflect this change in behaviour: https://airflow.apache.org/docs/apache-airflow-providers-google/stable/operators/cloud/kubernetes_engine.html#using-with-private-cluster



### What you think should happen instead

There should still be an option to connect using previous method with option "--private-ip" so API calls to Kubernetes call the private endpoint of GKE Cluster.

### How to reproduce

1. Create DAG file with GKEStartPodOperator.
2. Deploy said DAG in an environment with no access tu public internet.

### Operating System

cos_coaintainerd

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==5.2.2
apache-airflow-providers-google==8.11.0

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

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        if regional is not None:
            warnings.warn(
                f"You have set parameter regional in class {self.__class__.__name__}. "
                "In current implementation of the operator the parameter is not used and will "
                "be deleted in future.",
                AirflowProviderDeprecationWarning,
                stacklevel=2,
            )
        super().__init__(is_delete_operator_pod=is_delete_operator_pod, **kwargs)
        self.project_id = project_id
        self.location = location
        self.cluster_name = cluster_name
        self.gcp_conn_id = gcp_conn_id
        self.impersonation_chain = impersonation_chain
        self.pod: V1Pod | None = None
        self._ssl_ca_cert: str | None = None
        self._cluster_url: str | None = None
        if self.gcp_conn_id is None:
            raise AirflowException(
                "The gcp_conn_id parameter has become required. If you want to use Application Default "
                "Credentials (ADC) strategy for authorization, create an empty connection "
                "called `google_cloud_default`.",
            )
        
        
        if self.config_file:
            raise AirflowException("config_file is not an allowed parameter for the GKEStartPodOperator.")
    @staticmethod
    def get_gke_config_file():