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: Alimentum serves French food near Yippee Noodle Bar by the riverside with a high customer rating and a price range of £20-25.
Example Output: name[Alimentum], food[French], priceRange[£20-25], customer rating[high], area[riverside], near[Yippee Noodle Bar]

Example Input: There's an inexpensive pub called Wildwood that sells a decent British breakfast.
Example Output: name[Wildwood], eatType[pub], food[English], priceRange[cheap], customer rating[average]

Example Input: Strada is not a family-friendly coffee shop that serves English food with a customer rating of 5 out of 5 and is located near Rainbow Vegetarian Café.
Example Output:
name[Strada], food[English], priceRange[cheap], customer rating[5 out of 5], familyFriendly[no], near[Rainbow Vegetarian Café]