### Apache Airflow version

main (development)

### What happened

_list_pods function uses kube list_namespaced_pod and list_pod_for_all_namespaces kube functions. Right now, these Kube functions will get the entire pod spec though we are interested in the pod metadata alone. This _list_pods is refered in clear_not_launched_queued_tasks. try_adopt_task_instances and _adopt_completed_pods functions.

When we run the airflow at large scale (with worker pods of more than > 500). The _list_pods function takes a significant amount of time (upto 15 - 30 seconds with 500 worker pods) due to unnecessary data transfer (V1PodList up to a few 10 MBs) and JSON deserialization overhead. This is blocking us from scaling the airflow to run at large scale

### What you think should happen instead

Request the Pod metadata instead of entire Pod payload. It will help to reduce significant network data transfer and JSON deserialization overhead.

### How to reproduce

I have reproduced the performance issue while running 500 concurrent jobs. Monitor  kubernetes_executor.clear_not_launched_queued_tasks.duration and kubernetes_executor.adopt_task_instances.duration metrics.

### Operating System

CentOS 6

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes

### Deployment

Other Docker-based deployment

### Deployment details

Terraform based airflow deployment

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

if self.kube_config.multi_namespace_mode:
            if self.kube_config.multi_namespace_mode_namespace_list:
                pods = []
                for namespace in self.kube_config.multi_namespace_mode_namespace_list:
                    pods.extend(
                        self.kube_client.list_namespaced_pod(namespace=namespace, **query_kwargs).items
                    )
            else:
                pods = self.kube_client.list_pod_for_all_namespaces(**query_kwargs).items
        else:
            pods = self.kube_client.list_namespaced_pod(
                namespace=self.kube_config.kube_namespace, **query_kwargs
            ).items
        return pods
    def _make_safe_label_value(self, input_value: str | datetime) -> str:
        """
        Normalize a provided label to be of valid length and characters.
        See airflow.providers.cncf.kubernetes.pod_generator.make_safe_label_value for more details.
        """
        
        
        from airflow.providers.cncf.kubernetes import pod_generator
        if isinstance(input_value, datetime):
            return pod_generator.datetime_to_label_safe_datestring(input_value)
        return pod_generator.make_safe_label_value(input_value)
    @provide_session
    def clear_not_launched_queued_tasks(self, session: Session = NEW_SESSION) -> None: