### 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)

"""
        Parse K8s log line and returns the final state
        :param line: k8s log line
        :return: timestamp and log message
        """
        split_at = line.find(" ")
        if split_at == -1:
            self.log.error(
                "Error parsing timestamp (no timestamp in message %r). "
                "Will continue execution but won't update timestamp",
                line,
            )
            return None, line
        timestamp = line[:split_at]
        message = line[split_at + 1 :].rstrip()
        try:
            last_log_time = cast(DateTime, pendulum.parse(timestamp))
        except ParserError:
            self.log.error("Error parsing timestamp. Will continue execution but won't update timestamp")
            return None, line
        return last_log_time, message
    def container_is_running(self, pod: V1Pod, container_name: str) -> bool: