### 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)

hook_mock.return_value.get_xcom_sidecar_container_image.return_value = None
        hook_mock.return_value.get_xcom_sidecar_container_resources.return_value = None
        extract_xcom_mock.return_value = "{}"
        path = sys.path[0] + "/tests/kubernetes/pod.yaml"
        k = KubernetesPodOperator(
            task_id=str(uuid4()),
            labels=self.labels,
            random_name_suffix=False,
            pod_template_file=path,
            do_xcom_push=True,
        )
        pod_mock = MagicMock()
        pod_mock.status.phase = "Succeeded"
        await_pod_completion_mock.return_value = pod_mock
        context = create_context(k)
        
        with caplog.at_level(logging.DEBUG, logger="airflow.task.operators"):
            k.execute(context)
            expected_lines = [
                "Starting pod:",
                "api_version: v1",
                "kind: Pod",
                "metadata:",
                "  annotations: {}",
                "  cluster_name: null",
                "  creation_timestamp: null",
                "  deletion_grace_period_seconds: null",
            ]
            actual = [x.getMessage() for x in caplog.records if x.msg == "Starting pod:\n%s"][0].splitlines()
            assert actual[: len(expected_lines)] == expected_lines