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 ataque de Tony Rominger, a 500 metros de la meta, no le sirvió nada más que para sacar dos segundos a Alex Zülle y a Mikel Zarrabeitia.
Postion	Tokenization
1	El
2	ataque
3	de
4	Tony
5	Rominger
6	,
7	a
8	500
9	metros
10	de
11	la
12	meta
13	,
14	no
15	le
16	sirvió
17	nada
18	más
19	que
20	para
21	sacar
22	dos
23	segundos
24	a
25	Alex
26	Zülle
27	y
28	a
29	Mikel
30	Zarrabeitia
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ataque	NOUN	16	nsubj
3	de	ADP	4	case
4	Tony	PROPN	2	nmod
5	Rominger	PROPN	4	flat
6	,	PUNCT	9	punct
7	a	ADP	9	case
8	500	NUM	9	nummod
9	metros	NOUN	2	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	meta	NOUN	9	nmod
13	,	PUNCT	9	punct
14	no	ADV	16	advmod
15	le	PRON	16	iobj
16	sirvió	VERB	0	root
17	nada	NOUN	16	advmod
18	más	ADV	17	fixed
19	que	SCONJ	17	fixed
20	para	ADP	21	mark
21	sacar	VERB	16	xcomp
22	dos	NUM	23	nummod
23	segundos	NOUN	21	obj
24	a	ADP	25	case
25	Alex	PROPN	21	obj
26	Zülle	PROPN	25	flat
27	y	CCONJ	29	cc
28	a	ADP	29	case
29	Mikel	PROPN	25	conj
30	Zarrabeitia	PROPN	29	flat
31	.	PUNCT	16	punct