### 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)

"""Converts passed config_file to dict format."""
        config_file = self.config_file if self.config_file else os.environ.get(KUBE_CONFIG_ENV_VAR)
        if config_file:
            with open(config_file) as f:
                self._config_dict = yaml.safe_load(f)
        else:
            self._config_dict = None
    def invoke_defer_method(self):
        """Method to easily redefine triggers which are being used in child classes."""
        trigger_start_time = utcnow()
        self.defer(
            trigger=KubernetesPodTrigger(
                pod_name=self.pod.metadata.name,
                pod_namespace=self.pod.metadata.namespace,
                trigger_start_time=trigger_start_time,
                kubernetes_conn_id=self.kubernetes_conn_id,
                cluster_context=self.cluster_context,
                config_dict=self._config_dict,
                in_cluster=self.in_cluster,
                poll_interval=self.poll_interval,
                should_delete_pod=self.is_delete_operator_pod,
                get_logs=self.get_logs,
                startup_timeout=self.startup_timeout_seconds,
                base_container_name=self.base_container_name,
            ),
            method_name="execute_complete",
        )
    def execute_complete(self, context: Context, event: dict, **kwargs):