### 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)

return mock.patch(f"{POD_MANAGER_CLASS}.create_pod").start()
@pytest.fixture(autouse=True)
def mock_await_pod_start() -> mock.Mock:
    return mock.patch(f"{POD_MANAGER_CLASS}.await_pod_start").start()
@pytest.fixture(autouse=True)
def await_xcom_sidecar_container_start() -> mock.Mock:
    return mock.patch(f"{POD_MANAGER_CLASS}.await_xcom_sidecar_container_start").start()
@pytest.fixture(autouse=True)
def extract_xcom() -> mock.Mock:
    f = mock.patch(f"{POD_MANAGER_CLASS}.extract_xcom").start()
    f.return_value = '{"key1": "value1", "key2": "value2"}'
    return f
@pytest.fixture(autouse=True)
def mock_await_pod_completion() -> mock.Mock:
    f = mock.patch(f"{POD_MANAGER_CLASS}.await_pod_completion").start()
    f.return_value = mock.MagicMock(**{"status.phase": "Succeeded"})
    return f
@pytest.fixture(autouse=True)
def mock_hook():
    return mock.patch(HOOK_CLASS).start()
def test_basic_kubernetes(dag_maker, session, mock_create_pod: mock.Mock, mock_hook: mock.Mock) -> None:
    with dag_maker(session=session) as dag:
        @task.kubernetes(
            image="python:3.10-slim-buster",
            in_cluster=False,
            cluster_context="default",
            config_file="/tmp/fake_file",
        )
        def f():