### Apache Airflow version

2.5.2

### What happened

Not sure if this is a feature not a bug, but I can use KubernetesPodOperator fine without setting a kubernetes_conn_id.
For example:
```
start = KubernetesPodOperator(
        namespace="mynamespace",
        cluster_context="mycontext",
        security_context={ 'runAsUser': 1000 },
        name="hello",
        image="busybox",
        image_pull_secrets=[k8s.V1LocalObjectReference('prodregistry')],
        cmds=["sh", "-cx"],
        arguments=["echo Start"],
        task_id="Start",
        in_cluster=False,
        is_delete_operator_pod=True,
        config_file="/home/airflow/.kube/config",
    )
```

But if I add deferrable=True to this it won't work. It seems to require an explicit kubernetes_conn_id (which we don't configure).

Is not possible to the deferrable version to work as the non deferrable one?

### What you think should happen instead

I hoped that kpo deferrable would work the same as non deferrable.

### How to reproduce

Use KPO with deferrable=True but no kubernetes_conn_id setting

### Operating System

Debian 11

### Versions of Apache Airflow Providers

_No response_

### 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)

from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
from airflow.providers.cncf.kubernetes.utils.pod_manager import PodManager
from airflow.utils import timezone
from airflow.utils.context import Context
from airflow.utils.types import DagRunType
from airflow.version import version as airflow_version
HOOK_CLASS = "airflow.providers.cncf.kubernetes.operators.pod.KubernetesHook"
POD_MANAGER_CLASS = "airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager"
def create_context(task) -> Context:
    dag = DAG(dag_id="dag")
    tzinfo = pendulum.tz.timezone("Europe/Amsterdam")
    execution_date = timezone.datetime(2016, 1, 1, 1, 0, 0, tzinfo=tzinfo)
    dag_run = DagRun(
        dag_id=dag.dag_id,
        execution_date=execution_date,
        run_id=DagRun.generate_run_id(DagRunType.MANUAL, execution_date),
    )
    task_instance = TaskInstance(task=task)
    task_instance.dag_run = dag_run
    task_instance.dag_id = dag.dag_id
    task_instance.xcom_push = mock.Mock()  
    return Context(
        dag=dag,
        run_id=dag_run.run_id,
        task=task,
        ti=task_instance,
        task_instance=task_instance,
    )
@pytest.fixture(scope="session")
def kubeconfig_path():