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:
Quizá por no sacar a tiempo a José Lasa a enfrentarse con la defensa individual presionante del Barcelona en la segunda mitad (José Miguel Antúnez, excelente hasta entonces, no es el hombre para esas tareas), Luyk se quedó sin el - basket average -.
Postion	Tokenization
1	Quizá
2	por
3	no
4	sacar
5	a
6	tiempo
7	a
8	José
9	Lasa
10	a
11	enfrentarse
12	enfrentar
13	se
14	con
15	la
16	defensa
17	individual
18	presionante
19	del
20	Barcelona
21	en
22	la
23	segunda
24	mitad
25	(
26	José
27	Miguel
28	Antúnez
29	,
30	excelente
31	hasta
32	entonces
33	,
34	no
35	es
36	el
37	hombre
38	para
39	esas
40	tareas
41	)
42	,
43	Luyk
44	se
45	quedó
46	sin
47	el
48	-
49	basket
50	average
51	-
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizá	ADV	44	advmod
2	por	ADP	1	case
3	no	ADV	4	advmod
4	sacar	VERB	1	acl
5	a	ADP	4	advmod
6	tiempo	NOUN	5	fixed
7	a	ADP	8	case
8	José	PROPN	4	obj
9	Lasa	PROPN	8	flat
10	a	ADP	11	mark
11	enfrentarse	_	None	_
12	enfrentar	VERB	4	advcl
13	se	PRON	11	expl:pv
14	con	ADP	15	case
15	la	DET	15	det
16	defensa	NOUN	11	obj
17	individual	ADJ	15	amod
18	presionante	ADJ	15	amod
19	del	ADP	19	case
20	Barcelona	PROPN	15	nmod
21	en	ADP	23	case
22	la	DET	23	det
23	segunda	ADJ	23	amod
24	mitad	NOUN	11	obl
25	(	PUNCT	36	punct
26	José	PROPN	36	nsubj
27	Miguel	PROPN	25	flat
28	Antúnez	PROPN	25	flat
29	,	PUNCT	29	punct
30	excelente	ADJ	25	amod
31	hasta	ADP	31	case
32	entonces	ADV	29	advmod
33	,	PUNCT	29	punct
34	no	ADV	36	advmod
35	es	AUX	36	cop
36	el	DET	36	det
37	hombre	NOUN	4	parataxis
38	para	ADP	39	case
39	esas	DET	39	det
40	tareas	NOUN	36	obl
41	)	PUNCT	36	punct
42	,	PUNCT	1	punct
43	Luyk	PROPN	44	nsubj
44	se	PRON	44	expl:pv
45	quedó	VERB	0	root
46	sin	ADP	48	case
47	el	DET	48	det
48	-	PUNCT	48	punct
49	basket	NOUN	44	obl
50	average	NOUN	48	compound
51	-	PUNCT	44	punct
52	.	PUNCT	44	punct