### 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)

kubeconfig_path = os.environ.get("KUBECONFIG")
    return kubeconfig_path if kubeconfig_path else os.path.expanduser("~/.kube/config")
@pytest.fixture
def test_label(request):
    label = "".join(filter(str.isalnum, f"{request.node.cls.__name__}.{request.node.name}")).lower()
    return label[-63:]
@pytest.mark.execution_timeout(180)
class TestKubernetesPodOperatorSystem:
    @pytest.fixture(autouse=True)
    def setup_tests(self, test_label):
        self.api_client = ApiClient()
        self.labels = {"test_label": test_label}
        self.expected_pod = {
            "apiVersion": "v1",
            "kind": "Pod",
            "metadata": {
                "namespace": "default",
                "name": ANY,
                "annotations": {},
                "labels": {
                    "test_label": test_label,
                    "kubernetes_pod_operator": "True",
                    "airflow_version": airflow_version.replace("+", "-"),
                    "airflow_kpo_in_cluster": "False",
                    "run_id": "manual__2016-01-01T0100000100-da4d1ce7b",
                    "dag_id": "dag",
                    "task_id": ANY,
                    "try_number": "1",
                },