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: A child friendly English restaurant but with a high price range is Loch Fyne.
Example Output: name[Loch Fyne], eatType[restaurant], food[English], priceRange[high], familyFriendly[yes]

Example Input: Alimentum is an mid-range Italian restaurant north of the City centre near the Yippee Noodle Bar.
Example Output: name[Alimentum], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: The Wildwood is an affordable coffee shop that serves Japanese food, located in Ranch.
Example Output:
name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[average], near[Ranch]