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 Zaragoza, gracias a dos tantos del paraguayo Roberto Miguel `Toro` Acuña, se hizo con tres puntos en su visita a Vitoria (0-2) y arrebató el tercer puesto de la clasificación al Alavés, que llevaba siete jornadas sin perder.
Postion	Tokenization
1	El
2	Zaragoza
3	,
4	gracias
5	a
6	dos
7	tantos
8	del
9	paraguayo
10	Roberto
11	Miguel
12	`Toro`
13	Acuña
14	,
15	se
16	hizo
17	con
18	tres
19	puntos
20	en
21	su
22	visita
23	a
24	Vitoria
25	(
26	0-2
27	)
28	y
29	arrebató
30	el
31	tercer
32	puesto
33	de
34	la
35	clasificación
36	al
37	Alavés
38	,
39	que
40	llevaba
41	siete
42	jornadas
43	sin
44	perder
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Zaragoza	PROPN	16	nsubj
3	,	PUNCT	7	punct
4	gracias	NOUN	7	case
5	a	ADP	4	fixed
6	dos	NUM	7	nummod
7	tantos	NOUN	16	obl
8	del	ADP	9	case
9	paraguayo	NOUN	7	nmod
10	Roberto	PROPN	9	appos
11	Miguel	PROPN	10	flat
12	`Toro`	PROPN	10	flat
13	Acuña	PROPN	10	flat
14	,	PUNCT	7	punct
15	se	PRON	16	expl:pv
16	hizo	VERB	0	root
17	con	ADP	19	case
18	tres	NUM	19	nummod
19	puntos	NOUN	16	obj
20	en	ADP	22	case
21	su	DET	22	det
22	visita	NOUN	16	obl
23	a	ADP	24	case
24	Vitoria	PROPN	22	nmod
25	(	PUNCT	26	punct
26	0-2	NUM	16	dep
27	)	PUNCT	26	punct
28	y	CCONJ	29	cc
29	arrebató	VERB	16	conj
30	el	DET	32	det
31	tercer	ADJ	32	amod
32	puesto	NOUN	29	obj
33	de	ADP	35	case
34	la	DET	35	det
35	clasificación	NOUN	32	nmod
36	al	ADP	37	case
37	Alavés	PROPN	29	obj
38	,	PUNCT	40	punct
39	que	PRON	40	nsubj
40	llevaba	VERB	37	acl
41	siete	NUM	42	nummod
42	jornadas	NOUN	40	obj
43	sin	ADP	44	mark
44	perder	VERB	40	advcl
45	.	PUNCT	16	punct