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 desempleo se ha convertido en un serio e inédito problema en Japón por los cada vez mayores reajustes empresariales de plantillas que han llevado el índice del paro en marzo hasta un nuevo máximo histórico.
Postion	Tokenization
1	El
2	desempleo
3	se
4	ha
5	convertido
6	en
7	un
8	serio
9	e
10	inédito
11	problema
12	en
13	Japón
14	por
15	los
16	cada
17	vez
18	mayores
19	reajustes
20	empresariales
21	de
22	plantillas
23	que
24	han
25	llevado
26	el
27	índice
28	del
29	paro
30	en
31	marzo
32	hasta
33	un
34	nuevo
35	máximo
36	histórico
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	desempleo	NOUN	5	nsubj
3	se	PRON	5	expl:pv
4	ha	AUX	5	aux
5	convertido	VERB	0	root
6	en	ADP	11	case
7	un	DET	11	det
8	serio	ADJ	11	amod
9	e	CCONJ	10	cc
10	inédito	ADJ	8	conj
11	problema	NOUN	5	obj
12	en	ADP	13	case
13	Japón	PROPN	5	obl
14	por	ADP	19	case
15	los	DET	19	det
16	cada	DET	17	det
17	vez	NOUN	18	obj
18	mayores	ADJ	19	amod
19	reajustes	NOUN	5	obl
20	empresariales	ADJ	19	amod
21	de	ADP	22	case
22	plantillas	NOUN	19	nmod
23	que	PRON	25	nsubj
24	han	AUX	25	aux
25	llevado	VERB	19	acl
26	el	DET	27	det
27	índice	NOUN	25	obj
28	del	ADP	29	case
29	paro	NOUN	27	nmod
30	en	ADP	31	case
31	marzo	NOUN	25	obl
32	hasta	ADP	35	case
33	un	DET	35	det
34	nuevo	ADJ	35	amod
35	máximo	NOUN	25	obl
36	histórico	ADJ	35	amod
37	.	PUNCT	5	punct