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 alero Antawn Jamison y el escolta Kobe Bryant protagonizaron un duelo espectacular de 51 puntos cada uno en el encuentro que los Warriors de Golden State ganaron en la prórroga por 125-122 a Los Angeles Lakers.
Postion	Tokenization
1	El
2	alero
3	Antawn
4	Jamison
5	y
6	el
7	escolta
8	Kobe
9	Bryant
10	protagonizaron
11	un
12	duelo
13	espectacular
14	de
15	51
16	puntos
17	cada
18	uno
19	en
20	el
21	encuentro
22	que
23	los
24	Warriors
25	de
26	Golden
27	State
28	ganaron
29	en
30	la
31	prórroga
32	por
33	125-122
34	a
35	Los
36	Angeles
37	Lakers
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alero	NOUN	10	nsubj
3	Antawn	PROPN	2	appos
4	Jamison	PROPN	3	flat
5	y	CCONJ	7	cc
6	el	DET	7	det
7	escolta	NOUN	2	conj
8	Kobe	PROPN	7	appos
9	Bryant	PROPN	8	flat
10	protagonizaron	VERB	0	root
11	un	DET	12	det
12	duelo	NOUN	10	obj
13	espectacular	ADJ	12	amod
14	de	ADP	16	case
15	51	NUM	16	nummod
16	puntos	NOUN	12	nmod
17	cada	DET	18	det
18	uno	PRON	16	appos
19	en	ADP	21	case
20	el	DET	21	det
21	encuentro	NOUN	10	obl
22	que	PRON	28	obl
23	los	DET	24	det
24	Warriors	PROPN	28	nsubj
25	de	ADP	26	case
26	Golden	PROPN	24	flat
27	State	PROPN	26	flat
28	ganaron	VERB	21	acl
29	en	ADP	31	case
30	la	DET	31	det
31	prórroga	NOUN	28	obl
32	por	ADP	33	case
33	125-122	NUM	28	obl
34	a	ADP	36	case
35	Los	DET	36	det
36	Angeles	PROPN	28	obj
37	Lakers	PROPN	36	flat
38	.	PUNCT	10	punct