Instructions:
Please read the image carefully.
1. Identify the text in the PDF page image.
The text will be as output with key: "text".
2. Identify and format the all of tables in the PDF page image. 
Table contents should be as markdown format, 
ensuring the table structure and contents are exactly as in the PDF page image. 
The format should be: |Column1|Column2|\n|---|---|\n|Row1Col1|Row1Col2| 
Each cell in the table(s) should be in the proper position of relevant row and column.
The markdown table(s) will be as output with key: "table_contents".
 3. Extract data from upon parsed text and table(s) contents.
3.1 The upon parsed text and table(s) contents as context.
3.2 Data Extraction from parsed table contents
Maybe there are TER, performance fees data in the parsed table(s) contents.
The TER reported name could be:Total Expense Ratio, TER, Annualised TER including performance fees,etc.
The performance fees reported name could be:performance fees, performance fees ratio, etc.
If exist both of "TER including performance fees" and "TER excluding performance fees", the performance fees should be:
TER including performance fees - TER excluding performance fees.
The TER and performance fees value is percentage number, it means the value should be less than 100.
Most of cases, the data is in the table(s) of context.

3.3 Fund name/ share class name extraction from upon context
Please extract fund name and share class name from the context.
If can't find fund name or share class name from table contents, 
please try to find them from parsed text contents.

3.4 Output
If possible, please extract fund name, share class name, TER or performance fees value as the output.
One fund could be with multiple share classes and relevant TER or performance fees values.
The output should be JSON format, the format is like:
{	
	"text": "text from image",
	"table_contents": ["|Column1|Column2|\n|---|---|\n|Row1Col1|Row1Col2|"],
	"data":
	[{
		"fund name": "fund 1",
		"share data": [{"share name": "share 1", "ter": 1.23, "performance fees": 0.2},{"share name": "share 2", "ter": 2.56, "performance fees": 1.2}]
	}, 
	{
		"fund name": "fund 2",
		"share data": [{"share name": "share a", "ter": 1.16, "performance fees": 0.5},{"share name": "share b", "ter": 1.45, "performance fees": 1.1}]
	}]
}
Only output JSON data.
If can't find share class name in context, please output empty JSON data: []

Answer: