### 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)

@staticmethod
    def _gen_random_string(seed, str_len):
        char_list = []
        for char_seed in range(str_len):
            random.seed(str(seed) * char_seed)
            char_list.append(random.choice(string.printable))
        return "".join(char_list)
    def _cases(self):
        cases = [
            ("my_dag_id", "my-task-id"),
            ("my.dag.id", "my.task.id"),
            ("MYDAGID", "MYTASKID"),
            ("my_dag_id", "my_task_id"),
            ("mydagid" * 200, "my_task_id" * 200),
            ("my_dág_id", "my_tásk_id"),
            ("Компьютер", "niedołężność"),
            ("影師嗎", "中華民國;$"),
        ]
        cases.extend(
            [(self._gen_random_string(seed, 200), self._gen_random_string(seed, 200)) for seed in range(100)]
        )
        return cases
    @staticmethod
    def _is_valid_pod_id(name):