### Apache Airflow version

main (development)

### What happened

When dag processor starts with a sub directory to process then the import errors are recorded with that path. So when there is processor for airflow-dag-processor-0 folder in order to remove import errors it lists all files under airflow-dag-processor-0 folder and deletes those not present. This becomes an issue when there is airflow-dag-processor-1 that records import errors whose files won't be part of airflow-dag-processor-0 folder. 

### What you think should happen instead

The fix would be to have processor_subdir stored in ImportError table so that during querying we only look at import errors relevant to the dag processor and don't delete other items. A fix similar to https://github.com/apache/airflow/pull/33357 needs to be applied for import errors as well.

### How to reproduce

1. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-0/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-0/" . Import error should be present.
2. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-1/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-1/". Import error for airflow-dag-processor-0 is deleted.
3. 

```python
from datetime import datetime, timedelta

from airflow import DAG
from airflow.decorators import task

from datetime import timedelta, invalid


with DAG(
    dag_id="task_duration",
    start_date=datetime(2023, 1, 1),
    catchup=True,
    schedule_interval="@daily",
) as dag:

    @task
    def sleeper():
        pass

    sleeper()
```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### 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)

from sqlalchemy.orm import Query, Session
    from sqlalchemy.sql.elements import ClauseElement
    from sqlalchemy.sql.selectable import Select
    from airflow.models.base import Base
    from airflow.models.connection import Connection
log = logging.getLogger(__name__)
_REVISION_HEADS_MAP = {
    "2.0.0": "e959f08ac86c",
    "2.0.1": "82b7c48c147f",
    "2.0.2": "2e42bb497a22",
    "2.1.0": "a13f7613ad25",
    "2.1.3": "97cdd93827b8",
    "2.1.4": "ccde3e26fe78",
    "2.2.0": "7b2661a43ba3",
    "2.2.3": "be2bfac3da23",
    "2.2.4": "587bdf053233",
    "2.3.0": "b1b348e02d07",
    "2.3.1": "1de7bc13c950",
    "2.3.2": "3c94c427fdf6",
    "2.3.3": "f5fcbda3e651",
    "2.4.0": "ecb43d2a1842",
    "2.4.2": "b0d31815b5a6",
    "2.4.3": "e07f49787c9d",
    "2.5.0": "290244fb8b83",
    "2.6.0": "98ae134e6fff",
    "2.6.2": "c804e5c76e3e",
    "2.7.0": "405de8318b3a",
    "2.8.0": "624ecf3b6a5e",
}
def _format_airflow_moved_table_name(source_table, version, category):