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:
En los comicios, la Cámara de Diputados reducirá de 500 a 480 el número de escaños tras la aprobación en febrero de este año de la supresión de 20 asientos de representación proporcional, uno de los dos que componen el sistema electoral nipón.
Postion	Tokenization
1	En
2	los
3	comicios
4	,
5	la
6	Cámara
7	de
8	Diputados
9	reducirá
10	de
11	500
12	a
13	480
14	el
15	número
16	de
17	escaños
18	tras
19	la
20	aprobación
21	en
22	febrero
23	de
24	este
25	año
26	de
27	la
28	supresión
29	de
30	20
31	asientos
32	de
33	representación
34	proporcional
35	,
36	uno
37	de
38	los
39	dos
40	que
41	componen
42	el
43	sistema
44	electoral
45	nipón
46	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	los	DET	3	det
3	comicios	NOUN	9	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	Cámara	PROPN	9	nsubj
7	de	ADP	8	case
8	Diputados	PROPN	6	flat
9	reducirá	VERB	0	root
10	de	ADP	11	case
11	500	NUM	9	obl
12	a	ADP	13	case
13	480	NUM	9	obl
14	el	DET	15	det
15	número	NOUN	9	obj
16	de	ADP	17	case
17	escaños	NOUN	15	nmod
18	tras	ADP	20	case
19	la	DET	20	det
20	aprobación	NOUN	9	obl
21	en	ADP	22	case
22	febrero	NOUN	20	nmod
23	de	ADP	25	case
24	este	DET	25	det
25	año	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	supresión	NOUN	20	nmod
29	de	ADP	31	case
30	20	NUM	31	nummod
31	asientos	NOUN	28	nmod
32	de	ADP	33	case
33	representación	NOUN	31	nmod
34	proporcional	ADJ	33	amod
35	,	PUNCT	36	punct
36	uno	PRON	31	appos
37	de	ADP	39	case
38	los	DET	39	det
39	dos	NUM	36	nummod
40	que	PRON	41	nsubj
41	componen	VERB	39	advcl
42	el	DET	43	det
43	sistema	NOUN	41	obj
44	electoral	ADJ	43	amod
45	nipón	ADJ	43	amod
46	.	PUNCT	9	punct