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 Rice Boat is an expensive, highly rated establishment serving Japanese food in the city centre near Express by Holiday Inn.  It is not child friendly.
Example Output: name[The Rice Boat], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Cotto serves Indian food and it is located near Café Rouge.
Example Output: name[Cotto], food[Indian], near[Café Rouge]

Example Input: Loch Fyne provides French food in a restaurant-setting. Prices range from over £30 and it is not recommended for children.
Example Output:
name[Loch Fyne], eatType[restaurant], food[French], priceRange[more than £30], familyFriendly[no]