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:
Andrés Palop, guardameta del Valencia, estará cuatro meses de baja como consecuencia de la lesión que sufre en la muñeca derecha y que le obligará a ser intervenido quirúrgicamente el próximo miércoles en Barcelona.
Postion	Tokenization
1	Andrés
2	Palop
3	,
4	guardameta
5	del
6	Valencia
7	,
8	estará
9	cuatro
10	meses
11	de
12	baja
13	como
14	consecuencia
15	de
16	la
17	lesión
18	que
19	sufre
20	en
21	la
22	muñeca
23	derecha
24	y
25	que
26	le
27	obligará
28	a
29	ser
30	intervenido
31	quirúrgicamente
32	el
33	próximo
34	miércoles
35	en
36	Barcelona
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Andrés	PROPN	12	nsubj
2	Palop	PROPN	1	flat
3	,	PUNCT	4	punct
4	guardameta	NOUN	1	appos
5	del	ADP	6	case
6	Valencia	PROPN	4	nmod
7	,	PUNCT	4	punct
8	estará	AUX	12	cop
9	cuatro	NUM	10	nummod
10	meses	NOUN	12	obl
11	de	ADP	12	case
12	baja	NOUN	0	root
13	como	SCONJ	17	case
14	consecuencia	NOUN	13	fixed
15	de	ADP	13	fixed
16	la	DET	17	det
17	lesión	NOUN	12	obl
18	que	PRON	19	obj
19	sufre	VERB	17	acl
20	en	ADP	22	case
21	la	DET	22	det
22	muñeca	NOUN	19	obl
23	derecha	ADJ	22	amod
24	y	CCONJ	27	cc
25	que	PRON	27	nsubj
26	le	PRON	27	iobj
27	obligará	VERB	19	conj
28	a	ADP	30	mark
29	ser	AUX	30	aux
30	intervenido	VERB	27	ccomp
31	quirúrgicamente	ADV	30	advmod
32	el	DET	34	det
33	próximo	ADJ	34	amod
34	miércoles	NOUN	30	obl
35	en	ADP	36	case
36	Barcelona	PROPN	30	obl
37	.	PUNCT	12	punct