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:
Del Bosque sabía que Coco, Puyol, Abelardo y De Boer sufren para sacar el balón y que siempre se lo ceden a Xavi, así que Guti y Raúl se turnaron para intentar robarle la pelota.
Postion	Tokenization
1	Del
2	Bosque
3	sabía
4	que
5	Coco
6	,
7	Puyol
8	,
9	Abelardo
10	y
11	De
12	Boer
13	sufren
14	para
15	sacar
16	el
17	balón
18	y
19	que
20	siempre
21	se
22	lo
23	ceden
24	a
25	Xavi
26	,
27	así
28	que
29	Guti
30	y
31	Raúl
32	se
33	turnaron
34	para
35	intentar
36	robarle
37	robar
38	le
39	la
40	pelota
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Del	ADP	2	case
2	Bosque	PROPN	3	nsubj
3	sabía	VERB	0	root
4	que	SCONJ	13	mark
5	Coco	PROPN	13	nsubj
6	,	PUNCT	7	punct
7	Puyol	PROPN	5	conj
8	,	PUNCT	9	punct
9	Abelardo	PROPN	5	conj
10	y	CCONJ	12	cc
11	De	ADP	12	case
12	Boer	PROPN	5	conj
13	sufren	VERB	3	ccomp
14	para	ADP	15	mark
15	sacar	VERB	13	advcl
16	el	DET	17	det
17	balón	NOUN	15	obj
18	y	CCONJ	23	cc
19	que	SCONJ	23	mark
20	siempre	ADV	23	advmod
21	se	PRON	23	iobj
22	lo	PRON	23	obj
23	ceden	VERB	13	conj
24	a	ADP	25	case
25	Xavi	PROPN	23	iobj
26	,	PUNCT	33	punct
27	así	ADV	33	mark
28	que	SCONJ	27	fixed
29	Guti	PROPN	33	nsubj
30	y	CCONJ	31	cc
31	Raúl	PROPN	29	conj
32	se	PRON	33	iobj
33	turnaron	VERB	3	advcl
34	para	ADP	35	mark
35	intentar	VERB	33	advcl
36	robarle	_	None	_
37	robar	VERB	35	xcomp
38	le	PRON	36	obj
39	la	DET	39	det
40	pelota	NOUN	36	obj
41	.	PUNCT	3	punct