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:
Después de la derrota durante año y medio estuvo recuperándose de la lesión que sufrió y reapareció en el cuadrilátero en marzo de 1997 para derrotar a Yuri Yelistratov.
Postion	Tokenization
1	Después
2	de
3	la
4	derrota
5	durante
6	año
7	y
8	medio
9	estuvo
10	recuperándose
11	recuperando
12	se
13	de
14	la
15	lesión
16	que
17	sufrió
18	y
19	reapareció
20	en
21	el
22	cuadrilátero
23	en
24	marzo
25	de
26	1997
27	para
28	derrotar
29	a
30	Yuri
31	Yelistratov
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	10	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	derrota	NOUN	1	obl
5	durante	ADP	6	case
6	año	NOUN	10	obl
7	y	CCONJ	8	cc
8	medio	ADJ	6	conj
9	estuvo	AUX	10	aux
10	recuperándose	_	None	_
11	recuperando	VERB	0	root
12	se	PRON	10	expl:pv
13	de	ADP	14	case
14	la	DET	14	det
15	lesión	NOUN	10	obj
16	que	PRON	16	obj
17	sufrió	VERB	14	acl
18	y	CCONJ	18	cc
19	reapareció	VERB	10	conj
20	en	ADP	21	case
21	el	DET	21	det
22	cuadrilátero	NOUN	18	obl
23	en	ADP	23	case
24	marzo	NOUN	18	obl
25	de	ADP	25	case
26	1997	NUM	23	compound
27	para	ADP	27	mark
28	derrotar	VERB	18	advcl
29	a	ADP	29	case
30	Yuri	PROPN	27	obj
31	Yelistratov	PROPN	29	flat
32	.	PUNCT	10	punct