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 tokenized text:
"Este año concluiremos con una participación del 80 por ciento en el mercado de bebidas de cola y de un 21 por ciento en el mercado total de bebidas no alcohólicas", agregó.
Postion	Tokenization
1	"
2	Este
3	año
4	concluiremos
5	con
6	una
7	participación
8	del
9	80
10	por
11	ciento
12	en
13	el
14	mercado
15	de
16	bebidas
17	de
18	cola
19	y
20	de
21	un
22	21
23	por
24	ciento
25	en
26	el
27	mercado
28	total
29	de
30	bebidas
31	no
32	alcohólicas
33	"
34	,
35	agregó
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Este	DET	3	det
3	año	NOUN	4	obl
4	concluiremos	VERB	35	advcl
5	con	ADP	7	case
6	una	DET	7	det
7	participación	NOUN	4	obl
8	del	ADP	9	case
9	80	NUM	7	nummod
10	por	ADP	11	case
11	ciento	NUM	9	compound
12	en	ADP	14	case
13	el	DET	14	det
14	mercado	NOUN	9	nmod
15	de	ADP	16	case
16	bebidas	NOUN	14	nmod
17	de	ADP	18	case
18	cola	NOUN	16	nmod
19	y	CCONJ	22	cc
20	de	ADP	22	case
21	un	DET	22	det
22	21	NUM	9	conj
23	por	ADP	24	case
24	ciento	NUM	22	compound
25	en	ADP	27	case
26	el	DET	27	det
27	mercado	NOUN	22	nmod
28	total	ADJ	27	amod
29	de	ADP	30	case
30	bebidas	NOUN	27	nmod
31	no	ADV	32	advmod
32	alcohólicas	ADJ	30	amod
33	"	PUNCT	4	punct
34	,	PUNCT	4	punct
35	agregó	VERB	0	root
36	.	PUNCT	35	punct