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:
Fujimori se consideró el pasado lunes, en un mensaje a la nación, presidente reelegido dispuesto a asumir cinco años más la presidencia, al contar con el 51,22 por ciento de los votos totales, al 99,78 por ciento de las mesas escrutadas.
Postion	Tokenization
1	Fujimori
2	se
3	consideró
4	el
5	pasado
6	lunes
7	,
8	en
9	un
10	mensaje
11	a
12	la
13	nación
14	,
15	presidente
16	reelegido
17	dispuesto
18	a
19	asumir
20	cinco
21	años
22	más
23	la
24	presidencia
25	,
26	al
27	contar
28	con
29	el
30	51,22
31	por
32	ciento
33	de
34	los
35	votos
36	totales
37	,
38	al
39	99,78
40	por
41	ciento
42	de
43	las
44	mesas
45	escrutadas
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Fujimori	PROPN	3	nsubj
2	se	PRON	3	obj
3	consideró	VERB	0	root
4	el	DET	5	det
5	pasado	NOUN	3	obl
6	lunes	NOUN	5	compound
7	,	PUNCT	10	punct
8	en	ADP	10	case
9	un	DET	10	det
10	mensaje	NOUN	3	obl
11	a	ADP	13	case
12	la	DET	13	det
13	nación	NOUN	10	nmod
14	,	PUNCT	10	punct
15	presidente	NOUN	3	obj
16	reelegido	ADJ	15	amod
17	dispuesto	ADJ	15	amod
18	a	ADP	19	mark
19	asumir	VERB	17	xcomp
20	cinco	NUM	21	nummod
21	años	NOUN	19	obl
22	más	ADV	21	advmod
23	la	DET	24	det
24	presidencia	NOUN	19	obj
25	,	PUNCT	27	punct
26	al	ADP	27	mark
27	contar	VERB	3	advcl
28	con	ADP	30	case
29	el	DET	30	det
30	51,22	NUM	27	obj
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	de	ADP	35	case
34	los	DET	35	det
35	votos	NOUN	30	nmod
36	totales	ADJ	35	amod
37	,	PUNCT	39	punct
38	al	ADP	39	case
39	99,78	NUM	27	obl
40	por	ADP	41	case
41	ciento	NUM	39	compound
42	de	ADP	44	case
43	las	DET	44	det
44	mesas	NOUN	39	nmod
45	escrutadas	ADJ	44	amod
46	.	PUNCT	3	punct