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:
No posee el - gancho - de Butragueño porque tal vez no lo haya poseído ningún otro jugador en la historia del fútbol español, pero nadie se le aproxima tanto en los últimos tiempos.
Postion	Tokenization
1	No
2	posee
3	el
4	-
5	gancho
6	-
7	de
8	Butragueño
9	porque
10	tal
11	vez
12	no
13	lo
14	haya
15	poseído
16	ningún
17	otro
18	jugador
19	en
20	la
21	historia
22	del
23	fútbol
24	español
25	,
26	pero
27	nadie
28	se
29	le
30	aproxima
31	tanto
32	en
33	los
34	últimos
35	tiempos
36	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	posee	VERB	0	root
3	el	DET	5	det
4	-	PUNCT	5	punct
5	gancho	NOUN	2	obj
6	-	PUNCT	5	punct
7	de	ADP	8	case
8	Butragueño	PROPN	5	nmod
9	porque	SCONJ	15	mark
10	tal	NOUN	15	advmod
11	vez	NOUN	10	fixed
12	no	ADV	15	advmod
13	lo	PRON	15	obj
14	haya	AUX	15	aux
15	poseído	VERB	2	advcl
16	ningún	DET	18	det
17	otro	DET	16	det
18	jugador	NOUN	15	nsubj
19	en	ADP	21	case
20	la	DET	21	det
21	historia	NOUN	15	obl
22	del	ADP	23	case
23	fútbol	NOUN	21	nmod
24	español	ADJ	23	amod
25	,	PUNCT	30	punct
26	pero	CCONJ	30	cc
27	nadie	PRON	30	nsubj
28	se	PRON	30	expl:pv
29	le	PRON	30	obj
30	aproxima	VERB	2	conj
31	tanto	ADV	30	advmod
32	en	ADP	35	case
33	los	DET	35	det
34	últimos	ADJ	35	amod
35	tiempos	NOUN	30	obl
36	.	PUNCT	2	punct