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: Located near The Bakers is a kid friendly restaurant called The Plough. It has a price range of £20-25.
Example Output: name[The Plough], eatType[restaurant], priceRange[£20-25], familyFriendly[yes], near[The Bakers]

Example Input: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.
Example Output: name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]

Example Input: Alimentum specializes in traditional pub fare of moderate quality. They have fair prices, and are located just east of the Yippee Noodle Bar on the River.
Example Output:
name[Alimentum], food[English], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]