In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Loch Fyne is a restaurant that serves English food that is not family-friendly.
Example Output: name[Loch Fyne], eatType[restaurant], food[English], familyFriendly[no]

Example Input: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.
Example Output: name[Cotto], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]

Example Input: Blue Spice is an average priced, children friendly restaurant in the riverside area with an average customer rating of 3 out of 5
Example Output:
name[Blue Spice], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]