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:
Con esta decisión, su compatriota Yober Ortega, segundo en las listas de la AMB con récord de 30 victorias, un empate y tres derrotas, viajará a Tokio donde el próximo 23 de septiembre tendrá una segunda oportunidad, tras perder hace un año con Cermeño, para conquistar la diadema interina cuando enfrente al japonés Kozo Ishii, que actualmente ocupa el tercer puesto de la categoría Supergallo.
Postion	Tokenization
1	Con
2	esta
3	decisión
4	,
5	su
6	compatriota
7	Yober
8	Ortega
9	,
10	segundo
11	en
12	las
13	listas
14	de
15	la
16	AMB
17	con
18	récord
19	de
20	30
21	victorias
22	,
23	un
24	empate
25	y
26	tres
27	derrotas
28	,
29	viajará
30	a
31	Tokio
32	donde
33	el
34	próximo
35	23
36	de
37	septiembre
38	tendrá
39	una
40	segunda
41	oportunidad
42	,
43	tras
44	perder
45	hace
46	un
47	año
48	con
49	Cermeño
50	,
51	para
52	conquistar
53	la
54	diadema
55	interina
56	cuando
57	enfrente
58	al
59	japonés
60	Kozo
61	Ishii
62	,
63	que
64	actualmente
65	ocupa
66	el
67	tercer
68	puesto
69	de
70	la
71	categoría
72	Supergallo
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	esta	DET	3	det
3	decisión	NOUN	29	obl
4	,	PUNCT	3	punct
5	su	DET	6	det
6	compatriota	NOUN	29	nsubj
7	Yober	PROPN	6	appos
8	Ortega	PROPN	7	flat
9	,	PUNCT	10	punct
10	segundo	NOUN	6	appos
11	en	ADP	13	case
12	las	DET	13	det
13	listas	NOUN	10	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	AMB	PROPN	13	nmod
17	con	ADP	18	case
18	récord	NOUN	10	nmod
19	de	ADP	21	case
20	30	NUM	21	nummod
21	victorias	NOUN	18	nmod
22	,	PUNCT	24	punct
23	un	DET	24	det
24	empate	NOUN	21	appos
25	y	CCONJ	27	cc
26	tres	NUM	27	nummod
27	derrotas	NOUN	21	conj
28	,	PUNCT	10	punct
29	viajará	VERB	0	root
30	a	ADP	31	case
31	Tokio	PROPN	29	obl
32	donde	PRON	38	obl
33	el	DET	35	det
34	próximo	ADJ	35	amod
35	23	NUM	38	obl
36	de	ADP	37	case
37	septiembre	NOUN	35	compound
38	tendrá	VERB	31	acl
39	una	DET	41	det
40	segunda	ADJ	41	amod
41	oportunidad	NOUN	38	obj
42	,	PUNCT	44	punct
43	tras	ADP	44	mark
44	perder	VERB	38	advcl
45	hace	VERB	44	advcl
46	un	DET	47	det
47	año	NOUN	45	obj
48	con	ADP	49	case
49	Cermeño	PROPN	44	obl
50	,	PUNCT	44	punct
51	para	ADP	52	mark
52	conquistar	VERB	38	advcl
53	la	DET	54	det
54	diadema	NOUN	52	obj
55	interina	ADJ	54	amod
56	cuando	SCONJ	57	mark
57	enfrente	VERB	38	advcl
58	al	ADP	60	case
59	japonés	ADJ	60	amod
60	Kozo	PROPN	57	obj
61	Ishii	PROPN	60	flat
62	,	PUNCT	65	punct
63	que	PRON	65	nsubj
64	actualmente	ADV	65	advmod
65	ocupa	VERB	60	acl
66	el	DET	68	det
67	tercer	ADJ	68	amod
68	puesto	NOUN	65	obj
69	de	ADP	71	case
70	la	DET	71	det
71	categoría	NOUN	68	nmod
72	Supergallo	PROPN	71	nmod
73	.	PUNCT	29	punct