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:
Sólo él y Zarrabeitia atacaron de verdad, en el sentido de conmover la carrera, haciendo del Banesto el gran revoltoso (y beneficiado) del día.
Postion	Tokenization
1	Sólo
2	él
3	y
4	Zarrabeitia
5	atacaron
6	de
7	verdad
8	,
9	en
10	el
11	sentido
12	de
13	conmover
14	la
15	carrera
16	,
17	haciendo
18	del
19	Banesto
20	el
21	gran
22	revoltoso
23	(
24	y
25	beneficiado
26	)
27	del
28	día
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	2	advmod
2	él	PRON	5	nsubj
3	y	CCONJ	4	cc
4	Zarrabeitia	PROPN	2	conj
5	atacaron	VERB	0	root
6	de	ADP	7	case
7	verdad	NOUN	5	obl
8	,	PUNCT	11	punct
9	en	ADP	11	case
10	el	DET	11	det
11	sentido	NOUN	5	obl
12	de	ADP	13	mark
13	conmover	VERB	11	acl
14	la	DET	15	det
15	carrera	NOUN	13	obj
16	,	PUNCT	13	punct
17	haciendo	VERB	13	xcomp
18	del	ADP	19	case
19	Banesto	PROPN	17	obj
20	el	DET	22	det
21	gran	ADJ	22	amod
22	revoltoso	NOUN	17	obj
23	(	PUNCT	25	punct
24	y	CCONJ	25	cc
25	beneficiado	NOUN	22	conj
26	)	PUNCT	25	punct
27	del	ADP	28	case
28	día	NOUN	22	nmod
29	.	PUNCT	5	punct