**Describe the unexpected behaviour**
Clickhouse does not support parquet with 'large_utf8' columns (only 'utf8'). From my understanding, the only difference is offsets are u64 in 'large_utf8' instead of u32

**How to reproduce**

```
import pyarrow
import pyarrow.parquet
import subprocess


for schema in (None,pyarrow.schema({"a": pyarrow.large_utf8()})):
    a = pyarrow.table({"a": ["00000"]}, schema=schema)
    pyarrow.parquet.write_table(a, "test.parquet")
    subprocess.run(
        """cat test.parquet | clickhouse local \
            --input-format "Parquet" \
            --structure "a String" \
            --query "select * from table"\
        """,
        shell=True,
        check=True,
    )

```
gives
```
00000
Code: 50. DB::Exception: Unsupported Parquet type 'large_utf8' of an input column 'a'.: While executing ParquetBlockInputFormat: While executing File. (UNKNOWN_TYPE)
```



{
    if (!status.ok())
        throw Exception{ErrorCodes::UNKNOWN_EXCEPTION, "Error with a {} column '{}': {}.", format_name, column_name, status.ToString()};
}
Block ArrowColumnToCHColumn::arrowSchemaToCHHeader(
    const arrow::Schema & schema, const std::string & format_name, bool skip_columns_with_unsupported_types, const Block * hint_header, bool ignore_case)
{
    ColumnsWithTypeAndName sample_columns;
    std::unordered_set<String> nested_table_names;