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:
Se espera que se presenten más de 1.200 candidatos a las elecciones, que se celebrarán el mismo día que el fallecido ex primer ministro Keizo Obuchi cumpliría 63 años.
Postion	Tokenization
1	Se
2	espera
3	que
4	se
5	presenten
6	más
7	de
8	1.200
9	candidatos
10	a
11	las
12	elecciones
13	,
14	que
15	se
16	celebrarán
17	el
18	mismo
19	día
20	que
21	el
22	fallecido
23	ex
24	primer
25	ministro
26	Keizo
27	Obuchi
28	cumpliría
29	63
30	años
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	espera	VERB	0	root
3	que	SCONJ	5	mark
4	se	PRON	5	obj
5	presenten	VERB	2	csubj
6	más	ADV	9	advmod
7	de	ADP	6	fixed
8	1.200	NUM	6	nummod
9	candidatos	NOUN	5	nsubj
10	a	ADP	12	case
11	las	DET	12	det
12	elecciones	NOUN	5	obl
13	,	PUNCT	16	punct
14	que	PRON	16	nsubj
15	se	PRON	16	expl:pass
16	celebrarán	VERB	12	acl
17	el	DET	19	det
18	mismo	DET	17	det
19	día	NOUN	16	obl
20	que	PRON	28	obl
21	el	DET	25	det
22	fallecido	ADJ	25	amod
23	ex	NOUN	25	nmod
24	primer	ADJ	25	amod
25	ministro	NOUN	28	nsubj
26	Keizo	PROPN	25	appos
27	Obuchi	PROPN	26	flat
28	cumpliría	VERB	19	acl
29	63	NUM	30	nummod
30	años	NOUN	28	obj
31	.	PUNCT	2	punct