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:
Jamison por segundo partido consecutivo llegó a la marca de los 51 puntos, la mejor como profesional, y esta vez a diferencia de lo que sucedió el pasado lunes, que su equipo perdió por 118-102 frente a los SuperSonics de Seattle, los Warriors lograron la victoria para ganar por tercera vez en los últimos nueve partidos que han disputado contra los Lakers en su campo del Arena.
Postion	Tokenization
1	Jamison
2	por
3	segundo
4	partido
5	consecutivo
6	llegó
7	a
8	la
9	marca
10	de
11	los
12	51
13	puntos
14	,
15	la
16	mejor
17	como
18	profesional
19	,
20	y
21	esta
22	vez
23	a
24	diferencia
25	de
26	lo
27	que
28	sucedió
29	el
30	pasado
31	lunes
32	,
33	que
34	su
35	equipo
36	perdió
37	por
38	118-102
39	frente
40	a
41	los
42	SuperSonics
43	de
44	Seattle
45	,
46	los
47	Warriors
48	lograron
49	la
50	victoria
51	para
52	ganar
53	por
54	tercera
55	vez
56	en
57	los
58	últimos
59	nueve
60	partidos
61	que
62	han
63	disputado
64	contra
65	los
66	Lakers
67	en
68	su
69	campo
70	del
71	Arena
72	.
Position	Tokenization	UPOS	Head	Deprel
1	Jamison	PROPN	6	nsubj
2	por	ADP	4	case
3	segundo	ADJ	4	amod
4	partido	NOUN	6	obl
5	consecutivo	ADJ	4	amod
6	llegó	VERB	0	root
7	a	ADP	9	case
8	la	DET	9	det
9	marca	NOUN	6	obl
10	de	ADP	13	case
11	los	DET	12	det
12	51	NUM	13	nummod
13	puntos	NOUN	9	nmod
14	,	PUNCT	16	punct
15	la	DET	16	det
16	mejor	ADJ	9	appos
17	como	SCONJ	18	mark
18	profesional	NOUN	16	nmod
19	,	PUNCT	16	punct
20	y	CCONJ	48	cc
21	esta	DET	22	det
22	vez	NOUN	48	obl
23	a	ADP	28	mark
24	diferencia	NOUN	23	fixed
25	de	ADP	23	fixed
26	lo	PRON	28	det
27	que	PRON	28	nsubj
28	sucedió	VERB	48	advcl
29	el	DET	31	det
30	pasado	ADJ	31	amod
31	lunes	NOUN	28	obl
32	,	PUNCT	36	punct
33	que	SCONJ	36	mark
34	su	DET	35	det
35	equipo	NOUN	36	nsubj
36	perdió	VERB	28	advcl
37	por	ADP	38	case
38	118-102	NUM	36	obl
39	frente	NOUN	42	case
40	a	ADP	39	fixed
41	los	DET	42	det
42	SuperSonics	PROPN	36	obl
43	de	ADP	44	case
44	Seattle	PROPN	42	flat
45	,	PUNCT	36	punct
46	los	DET	47	det
47	Warriors	PROPN	48	nsubj
48	lograron	VERB	6	conj
49	la	DET	50	det
50	victoria	NOUN	48	obj
51	para	ADP	52	mark
52	ganar	VERB	48	advcl
53	por	ADP	55	case
54	tercera	ADJ	55	amod
55	vez	NOUN	52	obl
56	en	ADP	60	case
57	los	DET	60	det
58	últimos	ADJ	57	amod
59	nueve	NUM	57	nummod
60	partidos	NOUN	55	nmod
61	que	PRON	63	obj
62	han	AUX	63	aux
63	disputado	VERB	60	acl
64	contra	ADP	66	case
65	los	DET	66	det
66	Lakers	PROPN	63	obl
67	en	ADP	69	case
68	su	DET	69	det
69	campo	NOUN	63	obl
70	del	ADP	71	case
71	Arena	PROPN	69	nmod
72	.	PUNCT	6	punct