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, disolvió hoy la Cámara de Diputados para convocar las elecciones generales el próximo 25 de junio.
Postion	Tokenization
1	El
2	primer
3	ministro
4	japonés
5	,
6	Yoshiro
7	Mori
8	,
9	disolvió
10	hoy
11	la
12	Cámara
13	de
14	Diputados
15	para
16	convocar
17	las
18	elecciones
19	generales
20	el
21	próximo
22	25
23	de
24	junio
25	.
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	disolvió	VERB	0	root
10	hoy	ADV	9	advmod
11	la	DET	12	det
12	Cámara	PROPN	9	obj
13	de	ADP	14	case
14	Diputados	PROPN	12	flat
15	para	ADP	16	mark
16	convocar	VERB	9	advcl
17	las	DET	18	det
18	elecciones	NOUN	16	obj
19	generales	ADJ	18	amod
20	el	DET	21	det
21	próximo	ADJ	16	obl
22	25	NUM	21	compound
23	de	ADP	24	case
24	junio	NOUN	21	compound
25	.	PUNCT	9	punct