As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following text: Coca-Cola calmed the concerns of the people and attempted to win back their favor by giving them vast amounts of free fertilizer, saying it would grow bountiful crops beyond their wildest dreams.
Position	Tokenization	UPOS	Head	Deprel
1	Coca	PROPN	3	compound
2	-	PUNCT	3	punct
3	Cola	PROPN	4	nsubj
4	calmed	VERB	0	root
5	the	DET	6	det
6	concerns	NOUN	4	obj
7	of	ADP	9	case
8	the	DET	9	det
9	people	NOUN	6	nmod
10	and	CCONJ	11	cc
11	attempted	VERB	4	conj
12	to	PART	13	mark
13	win	VERB	11	xcomp
14	back	ADP	13	compound:prt
15	their	PRON	16	nmod:poss
16	favor	NOUN	13	obj
17	by	SCONJ	18	mark
18	giving	VERB	13	advcl
19	them	PRON	18	iobj
20	vast	ADJ	21	amod
21	amounts	NOUN	18	obj
22	of	ADP	24	case
23	free	ADJ	24	amod
24	fertilizer	NOUN	21	nmod
25	,	PUNCT	18	punct
26	saying	VERB	18	advcl
27	it	PRON	29	nsubj
28	would	AUX	29	aux
29	grow	VERB	26	ccomp
30	bountiful	ADJ	31	amod
31	crops	NOUN	29	obj
32	beyond	ADP	35	case
33	their	PRON	35	nmod:poss
34	wildest	ADJ	35	amod
35	dreams	NOUN	31	nmod
36	.	PUNCT	4	punct