### 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)

#
#
#
"""This module contains Google Kubernetes Engine operators."""
from __future__ import annotations
import warnings
from typing import TYPE_CHECKING, Sequence
from google.api_core.exceptions import AlreadyExists
from google.cloud.container_v1.types import Cluster
from kubernetes.client.models import V1Pod
from airflow.compat.functools import cached_property
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
try:
    from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
except ImportError:
    
    from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import KubernetesPodOperator
from airflow.providers.google.cloud.hooks.kubernetes_engine import GKEHook, GKEPodHook
from airflow.providers.google.cloud.links.kubernetes_engine import (
    KubernetesEngineClusterLink,
    KubernetesEnginePodLink,
)
from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
from airflow.providers.google.cloud.triggers.kubernetes_engine import GKEOperationTrigger, GKEStartPodTrigger
from airflow.utils.timezone import utcnow
if TYPE_CHECKING:
    from airflow.utils.context import Context
KUBE_CONFIG_ENV_VAR = "KUBECONFIG"
class GKEDeleteClusterOperator(GoogleCloudBaseOperator):