### Apache Airflow version

2.6.2

### What happened

The version 7.2.0 of the cncf-kubernetes is never setting the task in success if you use the KPO with do_xcom_push and deferrable at true


the sidecar airflow-xcom-sidecar is in running state in K8S and the operator log

```log
 {taskinstance.py:1308} INFO - Starting attempt 1 of 1
 {taskinstance.py:1327} INFO - Executing <Mapped(KubernetesPodOperator): task-one> on 2023-07-09 15:01:01.455462+00:00
 {standard_task_runner.py:57} INFO - Started process 157 to run task
 {standard_task_runner.py:84} INFO - Running: ['airflow', 'tasks', 'run', 'kubernetes_dag', 'task-one', 'manual__2023-07-09T15:01:01.455462+00:00', '--job-id', '8', '--raw', '--subdir', 'DAGS_FOLDER/kubernetes_dag.py', '--cfg-path', '/tmp/tmpve9e4m0j', '--map-index', '0']
 {standard_task_runner.py:85} INFO - Job 8: Subtask task-one
 {task_command.py:410} INFO - Running <TaskInstance: kubernetes_dag.task-one manual__2023-07-09T15:01:01.455462+00:00 map_index=0 [running]> on host efa1d3dea00b
 {logging_mixin.py:149} WARNING - /home/airflow/.local/lib/python3.11/site-packages/airflow/models/mappedoperator.py:615 AirflowProviderDeprecationWarning: `is_delete_operator_pod` parameter is deprecated, please use `on_finish_action`
 {taskinstance.py:1545} INFO - Exporting env vars: AIRFLOW_CTX_DAG_OWNER='airflow' AIRFLOW_CTX_DAG_ID='kubernetes_dag' AIRFLOW_CTX_TASK_ID='task-one' AIRFLOW_CTX_EXECUTION_DATE='2023-07-09T15:01:01.455462+00:00' AIRFLOW_CTX_TRY_NUMBER='1' AIRFLOW_CTX_DAG_RUN_ID='manual__2023-07-09T15:01:01.455462+00:00'
 {pod.py:878} INFO - Building pod airflow-test-pod-q3ez8146 with labels: {'dag_id': 'kubernetes_dag', 'task_id': 'task-one', 'run_id': 'manual__2023-07-09T150101.4554620000-198a0a929', 'kubernetes_pod_operator': 'True', 'map_index': '0', 'try_number': '1'}
 {base.py:73} INFO - Using connection ID 'kubernetes_default' for task execution.
 {taskinstance.py:1415} INFO - Pausing task as DEFERRED. dag_id=kubernetes_dag, task_id=task-one, execution_date=20230709T150101, start_date=20230709T150102
 {local_task_job_runner.py:222} INFO - Task exited with return code 100 (task deferral)
 {pod.py:142} INFO - Checking pod 'airflow-test-pod-q3ez8146' in namespace 'default'.
 {base.py:73} INFO - Using connection ID 'kubernetes_default' for task execution.
 {pod.py:175} INFO - Container is not completed and still working.
 {pod.py:194} INFO - Sleeping for 2 seconds.
 {pod.py:175} INFO - Container is not completed and still working.
 {pod.py:194} INFO - Sleeping for 2 seconds.
 {pod.py:175} INFO - Container is not completed and still working.
 {pod.py:194} INFO - Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
 {pod.py:158} INFO - Pod airflow-test-pod-q3ez8146 is still running. Sleeping for 2 seconds.
```

### What you think should happen instead

_No response_

### How to reproduce

```python
from pendulum import today
from airflow import DAG
from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator

dag = DAG(
    dag_id="kubernetes_dag",
    schedule_interval="0 0 * * *",
    start_date=today("UTC").add(days=-1)
)

with dag:
    cmd = "echo toto && sleep 4 && echo finish"

    KubernetesPodOperator.partial(
        task_id="task-one",
        namespace="default",
        kubernetes_conn_id="kubernetes_default",
        name="airflow-test-pod",
        image="alpine:3.16.2",
        cmds=["sh", "-c", cmd],
        is_delete_operator_pod=True,
        deferrable=True,
        poll_interval=2,
        do_xcom_push=True,
        get_logs=True,
    ).expand(env_vars=[{"a": "a"} for _ in range(1)])

```


### Operating System

Ubuntu 22.04

### 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)

file_path = "/tmp/fake_file"
        k = KubernetesPodOperator(
            namespace="default",
            image="ubuntu:16.04",
            cmds=["bash", "-cx"],
            arguments=["echo 10"],
            labels={"foo": "bar"},
            name="test",
            task_id="task",
            do_xcom_push=False,
            config_file=file_path,
        )
        remote_pod_mock = MagicMock()
        remote_pod_mock.status.phase = "Succeeded"
        self.await_pod_mock.return_value = remote_pod_mock
        self.run_pod(k)
        hook_mock.assert_called_once_with(
            cluster_context=None,
            conn_id="kubernetes_default",
            config_file=file_path,
            in_cluster=None,
        )
    @pytest.mark.parametrize(
        "input",
        [
            param([k8s.V1EnvVar(name="{{ bar }}", value="{{ foo }}")], id="current"),
            param({"{{ bar }}": "{{ foo }}"}, id="backcompat"),
        ],
    )
    def test_env_vars(self, input):