Repository: modin-project/modin

Issue:
BUG: HDK: Unable to read csv, containing a date with timezone
### Modin version checks

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the latest released version of Modin.

- [X] I have confirmed this bug exists on the main branch of Modin. (In order to do this you can follow [this guide](https://modin.readthedocs.io/en/stable/getting_started/installation.html#installing-from-the-github-master-branch).)


### Reproducible Example

```python
import modin.pandas as pd

file = "tmp.csv"
with open(file, "w") as f:
    f.write("test\n2023-01-01T00:00:00.000-07:00")
df = pd.read_csv(file)
print(df)
```


### Issue Description

The code above fails with `TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type`.

### Expected Behavior

```
                            test
0  2023-01-01T00:00:00.000-07:00
```

### Error Logs

<details>

```python-traceback

Replace this line with the error backtrace (if applicable).

```

</details>


### Installed Versions

<details>

Replace this line with the output of pd.show_versions()

</details>



Discussion:

Resolving patch:
diff --git a/modin/experimental/core/execution/native/implementations/hdk_on_native/io/io.py b/modin/experimental/core/execution/native/implementations/hdk_on_native/io/io.py
--- a/modin/experimental/core/execution/native/implementations/hdk_on_native/io/io.py
+++ b/modin/experimental/core/execution/native/implementations/hdk_on_native/io/io.py
@@ -174,7 +174,9 @@ def read_csv(cls, **kwargs):  # noqa: PR01
                 else false_values,
                 # timestamp fields should be handled as strings if parse_dates
                 # didn't passed explicitly as an array or a dict
-                timestamp_parsers=[""] if isinstance(parse_dates, bool) else None,
+                timestamp_parsers=[""]
+                if parse_dates is None or isinstance(parse_dates, bool)
+                else None,
                 strings_can_be_null=None,
                 include_columns=usecols_md,
                 include_missing_columns=None,


Test patch:
diff --git a/modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_dataframe.py b/modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_dataframe.py
--- a/modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_dataframe.py
+++ b/modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_dataframe.py
@@ -318,6 +318,20 @@ def test_read_csv_datetime(
             names=names,
         )
 
+    @pytest.mark.parametrize("engine", [None, "arrow"])
+    @pytest.mark.parametrize("parse_dates", [None, True, False])
+    def test_read_csv_datetime_tz(self, engine, parse_dates):
+        with ensure_clean(".csv") as file:
+            with open(file, "w") as f:
+                f.write("test\n2023-01-01T00:00:00.000-07:00")
+
+            eval_io(
+                fn_name="read_csv",
+                filepath_or_buffer=file,
+                md_extra_kwargs={"engine": engine},
+                parse_dates=parse_dates,
+            )
+
     @pytest.mark.parametrize("engine", [None, "arrow"])
     @pytest.mark.parametrize(
         "usecols",