### 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)

fixture = sys.path[0] + "/tests/kubernetes/basic_pod.yaml"
        k = KubernetesPodOperator(
            task_id=str(uuid4()),
            labels=self.labels,
            env_vars=env_vars,
            in_cluster=False,
            pod_template_file=fixture,
            do_xcom_push=True,
        )
        context = create_context(k)
        result = k.execute(context)
        assert result is not None
        assert k.pod.metadata.labels == {
            "test_label": test_label,
            "airflow_version": mock.ANY,
            "airflow_kpo_in_cluster": "False",
            "dag_id": "dag",
            "run_id": "manual__2016-01-01T0100000100-da4d1ce7b",
            "kubernetes_pod_operator": "True",
            "task_id": mock.ANY,
            "try_number": "1",
        }
        assert k.pod.spec.containers[0].env == [k8s.V1EnvVar(name="env_name", value="value")]
        assert result == {"hello": "world"}
    def test_pod_template_file_with_full_pod_spec(self, test_label):