### 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.models.xcom import XCom
from airflow.providers.cncf.kubernetes.operators.pod import (
    KubernetesPodOperator,
    _optionally_suppress,
)
from airflow.providers.cncf.kubernetes.triggers.pod import KubernetesPodTrigger
from airflow.utils import timezone
from airflow.utils.session import create_session
from airflow.utils.types import DagRunType
from tests.test_utils import db
DEFAULT_DATE = timezone.datetime(2016, 1, 1, 1, 0, 0)
KPO_MODULE = "airflow.providers.cncf.kubernetes.operators.pod"
POD_MANAGER_CLASS = "airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager"
POD_MANAGER_MODULE = "airflow.providers.cncf.kubernetes.utils.pod_manager"
HOOK_CLASS = "airflow.providers.cncf.kubernetes.operators.pod.KubernetesHook"
KUB_OP_PATH = "airflow.providers.cncf.kubernetes.operators.pod.KubernetesPodOperator.{}"
TEST_TASK_ID = "kubernetes_task_async"
TEST_NAMESPACE = "default"
TEST_IMAGE = "ubuntu:16.04"
TEST_CMDS = ["bash", "-cx"]
TEST_ARGS = ["echo", "10", "echo pwd"]
TEST_LABELS = {"foo": "bar"}
TEST_NAME = "test-pod"
TEST_SUCCESS_MESSAGE = "All containers inside pod have started successfully."
@pytest.fixture(scope="function", autouse=True)
def clear_db():
    db.clear_db_dags()
    db.clear_db_runs()
    yield
def create_context(task, persist_to_db=False, map_index=None):