### Apache Airflow version

2.5.1

### What happened

Context: I am attempting to use [TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict) objects to maintain the keys used in DAG params in a single place, and check for key names across multiple DAGs that use the params.
This raises an error with `mypy` as `params` expects an `Optional[Dict]`. Due to the invariance of `Dict`, this does not accept `TypedDict` objects.

What happened: I passed a `TypedDict` to the `params` arg of `DAG` and got a TypeError.

### What you think should happen instead

`TypedDict` objects should be accepted by `DAG`, which should accept `Optional[Mapping[str, Any]]`. 

Unless I'm mistaken, `params` are converted to a `ParamsDict` class and therefore the appropriate type hint is a generic `Mapping` type.

### How to reproduce

Steps to reproduce

```Python
from typing import TypedDict

from airflow import DAG
from airflow.models import Param

class ParamsTypedDict(TypedDict):
    str_param: Param

params: ParamsTypedDict = {
    "str_param": Param("", type="str")
}

with DAG(
    dag_id="mypy-error-dag",
    # The line below raises a mypy error
    # Argument "params" to "DAG" has incompatible type "ParamsTypedDict"; expected "Optional[Dict[Any, Any]]"  [arg-type]
    params=params,  
) as dag:
    pass
```

### Operating System

Amazon Linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### 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)

self,
        task_id: str,
        owner: str = DEFAULT_OWNER,
        email: str | Iterable[str] | None = None,
        email_on_retry: bool = conf.getboolean("email", "default_email_on_retry", fallback=True),
        email_on_failure: bool = conf.getboolean("email", "default_email_on_failure", fallback=True),
        retries: int | None = DEFAULT_RETRIES,
        retry_delay: timedelta | float = DEFAULT_RETRY_DELAY,
        retry_exponential_backoff: bool = False,
        max_retry_delay: timedelta | float | None = None,
        start_date: datetime | None = None,
        end_date: datetime | None = None,
        depends_on_past: bool = False,
        ignore_first_depends_on_past: bool = DEFAULT_IGNORE_FIRST_DEPENDS_ON_PAST,
        wait_for_past_depends_before_skipping: bool = DEFAULT_WAIT_FOR_PAST_DEPENDS_BEFORE_SKIPPING,
        wait_for_downstream: bool = False,
        dag: DAG | None = None,
        params: dict | None = None,
        default_args: dict | None = None,
        priority_weight: int = DEFAULT_PRIORITY_WEIGHT,
        weight_rule: str = DEFAULT_WEIGHT_RULE,
        queue: str = DEFAULT_QUEUE,
        pool: str | None = None,
        pool_slots: int = DEFAULT_POOL_SLOTS,