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:
Bryant, el máximo encestador de la liga, aportó 12 puntos de los 15 que consiguieron los Lakers en la prórroga, que le permitió llegar a los 51 al finalizar el partido, su mejor marca en lo que va de temporada al superar los 43 que había logrado contra los Spurs de San Antonio el pasado viernes.
Postion	Tokenization
1	Bryant
2	,
3	el
4	máximo
5	encestador
6	de
7	la
8	liga
9	,
10	aportó
11	12
12	puntos
13	de
14	los
15	15
16	que
17	consiguieron
18	los
19	Lakers
20	en
21	la
22	prórroga
23	,
24	que
25	le
26	permitió
27	llegar
28	a
29	los
30	51
31	al
32	finalizar
33	el
34	partido
35	,
36	su
37	mejor
38	marca
39	en
40	lo
41	que
42	va
43	de
44	temporada
45	al
46	superar
47	los
48	43
49	que
50	había
51	logrado
52	contra
53	los
54	Spurs
55	de
56	San
57	Antonio
58	el
59	pasado
60	viernes
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Bryant	PROPN	10	nsubj
2	,	PUNCT	5	punct
3	el	DET	5	det
4	máximo	ADJ	5	amod
5	encestador	NOUN	1	appos
6	de	ADP	8	case
7	la	DET	8	det
8	liga	NOUN	5	nmod
9	,	PUNCT	5	punct
10	aportó	VERB	0	root
11	12	NUM	12	nummod
12	puntos	NOUN	10	obj
13	de	ADP	15	case
14	los	DET	15	det
15	15	NUM	12	nummod
16	que	PRON	17	obj
17	consiguieron	VERB	15	advcl
18	los	DET	19	det
19	Lakers	PROPN	17	nsubj
20	en	ADP	22	case
21	la	DET	22	det
22	prórroga	NOUN	17	obl
23	,	PUNCT	26	punct
24	que	PRON	26	nsubj
25	le	PRON	26	iobj
26	permitió	VERB	12	acl
27	llegar	VERB	26	xcomp
28	a	ADP	30	case
29	los	DET	30	det
30	51	NUM	27	obj
31	al	ADP	32	mark
32	finalizar	VERB	27	advcl
33	el	DET	34	det
34	partido	NOUN	32	nsubj
35	,	PUNCT	38	punct
36	su	DET	38	det
37	mejor	ADJ	38	amod
38	marca	NOUN	26	iobj
39	en	ADP	42	mark
40	lo	PRON	42	det
41	que	PRON	42	nsubj
42	va	VERB	38	acl
43	de	ADP	44	case
44	temporada	NOUN	42	obl
45	al	ADP	46	mark
46	superar	VERB	38	acl
47	los	DET	48	det
48	43	NUM	46	obj
49	que	PRON	51	obj
50	había	AUX	51	aux
51	logrado	VERB	48	advcl
52	contra	ADP	54	case
53	los	DET	54	det
54	Spurs	PROPN	51	obl
55	de	ADP	56	case
56	San	PROPN	54	flat
57	Antonio	PROPN	56	flat
58	el	DET	60	det
59	pasado	ADJ	60	amod
60	viernes	NOUN	51	obl
61	.	PUNCT	10	punct