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:
Además, en el juego posicional tienen a un hombre como Oztas, que es un alero alto - 2,06 metros -, que sale a jugar tras la línea de tres puntos y que es el segundo jugador que mejor porcentajes tiene del equipo en tiros de tres ", apuntó el técnico.
Postion	Tokenization
1	Además
2	,
3	en
4	el
5	juego
6	posicional
7	tienen
8	a
9	un
10	hombre
11	como
12	Oztas
13	,
14	que
15	es
16	un
17	alero
18	alto
19	-
20	2,06
21	metros
22	-
23	,
24	que
25	sale
26	a
27	jugar
28	tras
29	la
30	línea
31	de
32	tres
33	puntos
34	y
35	que
36	es
37	el
38	segundo
39	jugador
40	que
41	mejor
42	porcentajes
43	tiene
44	del
45	equipo
46	en
47	tiros
48	de
49	tres
50	"
51	,
52	apuntó
53	el
54	técnico
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	7	advmod
2	,	PUNCT	1	punct
3	en	ADP	5	case
4	el	DET	5	det
5	juego	NOUN	7	obl
6	posicional	ADJ	5	amod
7	tienen	VERB	52	ccomp
8	a	ADP	10	case
9	un	DET	10	det
10	hombre	NOUN	7	obj
11	como	SCONJ	12	mark
12	Oztas	PROPN	10	nmod
13	,	PUNCT	17	punct
14	que	PRON	17	nsubj
15	es	AUX	17	cop
16	un	DET	17	det
17	alero	NOUN	12	acl
18	alto	ADJ	17	amod
19	-	PUNCT	21	punct
20	2,06	NUM	21	nummod
21	metros	NOUN	17	appos
22	-	PUNCT	21	punct
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	sale	VERB	17	advcl
26	a	ADP	27	mark
27	jugar	VERB	25	advcl
28	tras	ADP	30	case
29	la	DET	30	det
30	línea	NOUN	27	obl
31	de	ADP	33	case
32	tres	NUM	33	nummod
33	puntos	NOUN	30	nmod
34	y	CCONJ	39	cc
35	que	PRON	39	nsubj
36	es	AUX	39	cop
37	el	DET	39	det
38	segundo	ADJ	39	amod
39	jugador	NOUN	17	conj
40	que	PRON	43	nsubj
41	mejor	ADV	42	advmod
42	porcentajes	NOUN	43	obj
43	tiene	VERB	39	acl
44	del	ADP	45	case
45	equipo	NOUN	43	obj
46	en	ADP	47	case
47	tiros	NOUN	43	obl
48	de	ADP	49	case
49	tres	NUM	47	nummod
50	"	PUNCT	7	punct
51	,	PUNCT	7	punct
52	apuntó	VERB	0	root
53	el	DET	54	det
54	técnico	NOUN	52	nsubj
55	.	PUNCT	52	punct