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 Deportivo defenderá en esta ocasión su liderato ante el Mallorca, un rival que según su técnico Javier Irureta, "tiene en Diego Tristán un hombre que le está resolviendo los partidos", aunque negó que tenga pensado un marcaje individual para frenarlo.
Postion	Tokenization
1	El
2	Deportivo
3	defenderá
4	en
5	esta
6	ocasión
7	su
8	liderato
9	ante
10	el
11	Mallorca
12	,
13	un
14	rival
15	que
16	según
17	su
18	técnico
19	Javier
20	Irureta
21	,
22	"
23	tiene
24	en
25	Diego
26	Tristán
27	un
28	hombre
29	que
30	le
31	está
32	resolviendo
33	los
34	partidos
35	"
36	,
37	aunque
38	negó
39	que
40	tenga
41	pensado
42	un
43	marcaje
44	individual
45	para
46	frenarlo
47	frenar
48	lo
49	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Deportivo	PROPN	3	nsubj
3	defenderá	VERB	0	root
4	en	ADP	6	case
5	esta	DET	6	det
6	ocasión	NOUN	3	obl
7	su	DET	8	det
8	liderato	NOUN	3	obj
9	ante	ADP	11	case
10	el	DET	11	det
11	Mallorca	PROPN	3	obl
12	,	PUNCT	14	punct
13	un	DET	14	det
14	rival	NOUN	11	appos
15	que	PRON	23	nsubj
16	según	ADP	18	case
17	su	DET	18	det
18	técnico	NOUN	23	obl
19	Javier	PROPN	18	appos
20	Irureta	PROPN	19	flat
21	,	PUNCT	18	punct
22	"	PUNCT	23	punct
23	tiene	VERB	14	acl
24	en	ADP	25	case
25	Diego	PROPN	23	obl
26	Tristán	PROPN	25	flat
27	un	DET	28	det
28	hombre	NOUN	23	obj
29	que	PRON	32	nsubj
30	le	PRON	32	obj
31	está	AUX	32	aux
32	resolviendo	VERB	28	acl
33	los	DET	34	det
34	partidos	NOUN	32	obj
35	"	PUNCT	23	punct
36	,	PUNCT	38	punct
37	aunque	SCONJ	38	mark
38	negó	VERB	23	advcl
39	que	SCONJ	40	mark
40	tenga	VERB	38	ccomp
41	pensado	ADJ	40	obj
42	un	DET	43	det
43	marcaje	NOUN	40	obj
44	individual	ADJ	43	amod
45	para	ADP	46	mark
46	frenarlo	_	None	_
47	frenar	VERB	43	acl
48	lo	PRON	46	obj
49	.	PUNCT	3	punct