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:
Pero la ocasión más clara la volvió a protagonizar Batistuta, que remató de cabeza fuera de la portería cuando se encontraba a dos metros de línea de gol y sin oposición (m.53).
Postion	Tokenization
1	Pero
2	la
3	ocasión
4	más
5	clara
6	la
7	volvió
8	a
9	protagonizar
10	Batistuta
11	,
12	que
13	remató
14	de
15	cabeza
16	fuera
17	de
18	la
19	portería
20	cuando
21	se
22	encontraba
23	a
24	dos
25	metros
26	de
27	línea
28	de
29	gol
30	y
31	sin
32	oposición
33	(
34	m.53
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	7	advmod
2	la	DET	3	det
3	ocasión	NOUN	9	iobj
4	más	ADV	5	advmod
5	clara	ADJ	3	amod
6	la	PRON	7	obj
7	volvió	VERB	0	root
8	a	ADP	9	mark
9	protagonizar	VERB	7	xcomp
10	Batistuta	PROPN	7	nsubj
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	remató	VERB	10	acl
14	de	ADP	15	case
15	cabeza	NOUN	13	obl
16	fuera	ADV	13	advmod
17	de	ADP	19	case
18	la	DET	19	det
19	portería	NOUN	16	obl
20	cuando	SCONJ	22	mark
21	se	PRON	22	expl:pv
22	encontraba	VERB	13	advcl
23	a	ADP	25	case
24	dos	NUM	25	nummod
25	metros	NOUN	22	obl
26	de	ADP	27	case
27	línea	NOUN	25	nmod
28	de	ADP	29	case
29	gol	NOUN	27	nmod
30	y	CCONJ	32	cc
31	sin	ADP	32	case
32	oposición	NOUN	25	conj
33	(	PUNCT	34	punct
34	m.53	NOUN	13	dep
35	)	PUNCT	34	punct
36	.	PUNCT	7	punct