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:
El defensa central madrileño Oscar Téllez arrastra problemas en el tobillo derecho y hasta el mismo domingo no se desvelará la duda de si juega, o no, ante el Espanyol, aunque con una infiltración médica podría hacerlo.
Postion	Tokenization
1	El
2	defensa
3	central
4	madrileño
5	Oscar
6	Téllez
7	arrastra
8	problemas
9	en
10	el
11	tobillo
12	derecho
13	y
14	hasta
15	el
16	mismo
17	domingo
18	no
19	se
20	desvelará
21	la
22	duda
23	de
24	si
25	juega
26	,
27	o
28	no
29	,
30	ante
31	el
32	Espanyol
33	,
34	aunque
35	con
36	una
37	infiltración
38	médica
39	podría
40	hacerlo
41	hacer
42	lo
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	defensa	NOUN	7	nsubj
3	central	ADJ	2	amod
4	madrileño	NOUN	2	nmod
5	Oscar	PROPN	2	appos
6	Téllez	PROPN	5	flat
7	arrastra	VERB	0	root
8	problemas	NOUN	7	obj
9	en	ADP	11	case
10	el	DET	11	det
11	tobillo	NOUN	7	obl
12	derecho	ADJ	11	amod
13	y	CCONJ	20	cc
14	hasta	ADP	17	case
15	el	DET	17	det
16	mismo	DET	15	det
17	domingo	NOUN	20	obl
18	no	ADV	20	advmod
19	se	PRON	20	expl:pass
20	desvelará	VERB	7	conj
21	la	DET	22	det
22	duda	NOUN	20	nsubj
23	de	ADP	25	mark
24	si	SCONJ	25	mark
25	juega	VERB	22	acl
26	,	PUNCT	25	punct
27	o	CCONJ	25	cc
28	no	ADV	25	advmod
29	,	PUNCT	32	punct
30	ante	ADP	32	case
31	el	DET	32	det
32	Espanyol	PROPN	25	obl
33	,	PUNCT	40	punct
34	aunque	SCONJ	40	mark
35	con	ADP	37	case
36	una	DET	37	det
37	infiltración	NOUN	40	obl
38	médica	ADJ	37	amod
39	podría	AUX	40	aux
40	hacerlo	_	None	_
41	hacer	VERB	25	advcl
42	lo	PRON	40	obj
43	.	PUNCT	7	punct