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:
Por su parte, el venezolano Leo "Torito" Gámez, que ganó su cuarta corona mundial en cuatro divisiones distintas, al noquear a el japonés Hideki Todaka en octubre pasado, tendrá en su primera defensa titular de los supergallos como rival a otro japonés, Setsuo Kobayashi, que le recibirá el 3 de marzo en la ciudad japonesa de Nagoya, donde, según portavoces del campeón, recibirá una bolsa cercana a los 200.000 dólares.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	el
6	venezolano
7	Leo
8	"Torito"
9	Gámez
10	,
11	que
12	ganó
13	su
14	cuarta
15	corona
16	mundial
17	en
18	cuatro
19	divisiones
20	distintas
21	,
22	al
23	noquear
24	a
25	el
26	japonés
27	Hideki
28	Todaka
29	en
30	octubre
31	pasado
32	,
33	tendrá
34	en
35	su
36	primera
37	defensa
38	titular
39	de
40	los
41	supergallos
42	como
43	rival
44	a
45	otro
46	japonés
47	,
48	Setsuo
49	Kobayashi
50	,
51	que
52	le
53	recibirá
54	el
55	3
56	de
57	marzo
58	en
59	la
60	ciudad
61	japonesa
62	de
63	Nagoya
64	,
65	donde
66	,
67	según
68	portavoces
69	del
70	campeón
71	,
72	recibirá
73	una
74	bolsa
75	cercana
76	a
77	los
78	200.000
79	dólares
80	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	33	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	venezolano	NOUN	33	nsubj
7	Leo	PROPN	6	appos
8	"Torito"	PROPN	7	flat
9	Gámez	PROPN	7	flat
10	,	PUNCT	12	punct
11	que	PRON	12	nsubj
12	ganó	VERB	6	acl
13	su	DET	15	det
14	cuarta	ADJ	15	amod
15	corona	NOUN	12	obj
16	mundial	ADJ	15	amod
17	en	ADP	19	case
18	cuatro	NUM	19	nummod
19	divisiones	NOUN	12	obl
20	distintas	ADJ	19	amod
21	,	PUNCT	23	punct
22	al	ADP	23	mark
23	noquear	VERB	12	advcl
24	a	ADP	26	case
25	el	DET	26	det
26	japonés	NOUN	23	obj
27	Hideki	PROPN	26	appos
28	Todaka	PROPN	27	flat
29	en	ADP	30	case
30	octubre	NOUN	23	obl
31	pasado	ADJ	30	amod
32	,	PUNCT	23	punct
33	tendrá	VERB	0	root
34	en	ADP	37	case
35	su	DET	37	det
36	primera	ADJ	37	amod
37	defensa	NOUN	33	obl
38	titular	ADJ	37	amod
39	de	ADP	41	case
40	los	DET	41	det
41	supergallos	NOUN	37	nmod
42	como	SCONJ	43	mark
43	rival	NOUN	33	obl
44	a	ADP	46	case
45	otro	DET	46	det
46	japonés	NOUN	33	obj
47	,	PUNCT	48	punct
48	Setsuo	PROPN	46	appos
49	Kobayashi	PROPN	48	flat
50	,	PUNCT	48	punct
51	que	PRON	53	nsubj
52	le	PRON	53	obj
53	recibirá	VERB	46	acl
54	el	DET	55	det
55	3	NUM	53	obl
56	de	ADP	57	case
57	marzo	NOUN	55	compound
58	en	ADP	60	case
59	la	DET	60	det
60	ciudad	NOUN	53	obl
61	japonesa	ADJ	60	amod
62	de	ADP	63	case
63	Nagoya	PROPN	60	nmod
64	,	PUNCT	72	punct
65	donde	PRON	72	obl
66	,	PUNCT	68	punct
67	según	ADP	68	case
68	portavoces	NOUN	72	obl
69	del	ADP	70	case
70	campeón	NOUN	68	nmod
71	,	PUNCT	68	punct
72	recibirá	VERB	60	acl
73	una	DET	74	det
74	bolsa	NOUN	72	obj
75	cercana	ADJ	74	amod
76	a	ADP	79	case
77	los	DET	78	det
78	200.000	NUM	79	nummod
79	dólares	NOUN	75	nmod
80	.	PUNCT	33	punct