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: Bibimbap House offers French food with expensive price near Clare Hall.
Example Output: name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]

Example Input: Alimentum is a one star restaurant near the Yippee Noodle Bar
Example Output: name[Alimentum], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: Located within two miles of the City Centre, The Golden Palace is a poorly acclaimed coffee shop with steeply priced wares.
Example Output:
name[The Golden Palace], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], area[riverside]