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:
Más de 1.200 candidatos se presentarán a las elecciones, cuya celebración coincidirá con los 63 años de edad que cumpliría el ex primer ministro Keizo Obuchi, fallecido el 14 de mayo víctima de una hemorragia cerebral.
Postion	Tokenization
1	Más
2	de
3	1.200
4	candidatos
5	se
6	presentarán
7	a
8	las
9	elecciones
10	,
11	cuya
12	celebración
13	coincidirá
14	con
15	los
16	63
17	años
18	de
19	edad
20	que
21	cumpliría
22	el
23	ex
24	primer
25	ministro
26	Keizo
27	Obuchi
28	,
29	fallecido
30	el
31	14
32	de
33	mayo
34	víctima
35	de
36	una
37	hemorragia
38	cerebral
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	4	advmod
2	de	ADP	1	fixed
3	1.200	NUM	1	nummod
4	candidatos	NOUN	6	nsubj
5	se	PRON	6	obj
6	presentarán	VERB	0	root
7	a	ADP	9	case
8	las	DET	9	det
9	elecciones	NOUN	6	obl
10	,	PUNCT	13	punct
11	cuya	PRON	12	nmod
12	celebración	NOUN	13	nsubj
13	coincidirá	VERB	9	acl
14	con	ADP	17	case
15	los	DET	16	det
16	63	NUM	17	nummod
17	años	NOUN	13	obj
18	de	ADP	19	case
19	edad	NOUN	17	nmod
20	que	PRON	21	obj
21	cumpliría	VERB	17	acl
22	el	DET	25	det
23	ex	ADJ	25	amod
24	primer	ADJ	25	amod
25	ministro	NOUN	21	nsubj
26	Keizo	PROPN	25	appos
27	Obuchi	PROPN	26	flat
28	,	PUNCT	29	punct
29	fallecido	ADJ	25	amod
30	el	DET	31	det
31	14	NUM	29	obl
32	de	ADP	33	case
33	mayo	NOUN	31	compound
34	víctima	NOUN	29	obl
35	de	ADP	37	case
36	una	DET	37	det
37	hemorragia	NOUN	34	nmod
38	cerebral	ADJ	37	amod
39	.	PUNCT	6	punct