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:
El primer ministro japonés, Yoshiro Mori, decidió disolver hoy la Cámara de Diputados para convocar las elecciones generales previstas para el próximo 25 de junio, informaron fuentes oficiales.
Postion	Tokenization
1	El
2	primer
3	ministro
4	japonés
5	,
6	Yoshiro
7	Mori
8	,
9	decidió
10	disolver
11	hoy
12	la
13	Cámara
14	de
15	Diputados
16	para
17	convocar
18	las
19	elecciones
20	generales
21	previstas
22	para
23	el
24	próximo
25	25
26	de
27	junio
28	,
29	informaron
30	fuentes
31	oficiales
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	ministro	NOUN	9	nsubj
4	japonés	ADJ	3	amod
5	,	PUNCT	6	punct
6	Yoshiro	PROPN	3	appos
7	Mori	PROPN	6	flat
8	,	PUNCT	6	punct
9	decidió	VERB	29	ccomp
10	disolver	VERB	9	xcomp
11	hoy	ADV	10	advmod
12	la	DET	13	det
13	Cámara	PROPN	10	obj
14	de	ADP	15	case
15	Diputados	PROPN	13	flat
16	para	ADP	17	mark
17	convocar	VERB	10	advcl
18	las	DET	19	det
19	elecciones	NOUN	17	obj
20	generales	ADJ	19	amod
21	previstas	ADJ	19	amod
22	para	ADP	24	case
23	el	DET	24	det
24	próximo	ADJ	21	obl
25	25	NUM	24	compound
26	de	ADP	27	case
27	junio	NOUN	24	compound
28	,	PUNCT	9	punct
29	informaron	VERB	0	root
30	fuentes	NOUN	29	nsubj
31	oficiales	ADJ	30	amod
32	.	PUNCT	29	punct