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: 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]

Example Input: Browns Cambridge is a high priced Indian restaurant with an average customer rating.
Example Output: name[Browns Cambridge], food[Indian], priceRange[high], customer rating[average]

Example Input: The kid friendly Japanese restaurant is called Loch Fyne.
Example Output:
name[Loch Fyne], eatType[restaurant], food[Japanese], familyFriendly[yes]