### 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)

self.fail(task[0], e)
                except ApiException as e:
                    
                    
                    if e.status in (400, 422):
                        self.log.error("Pod creation failed with reason %r. Failing task", e.reason)
                        key, _, _, _ = task
                        self.fail(key, e)
                    else:
                        self.log.warning(
                            "ApiException when attempting to run task, re-queueing. Reason: %r. Message: %s",
                            e.reason,
                            json.loads(e.body)["message"],
                        )
                        self.task_queue.put(task)
                except PodMutationHookException as e:
                    key, _, _, _ = task
                    self.log.error(
                        "Pod Mutation Hook failed for the task %s. Failing task. Details: %s",
                        key,
                        e.__cause__,
                    )
                    self.fail(key, e)
                finally:
                    self.task_queue.task_done()
        
        next_event = self.event_scheduler.run(blocking=False)
        self.log.debug("Next timed event is in %f", next_event)
    @provide_session
    def _change_state(