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:
Japón, considerado tradicionalmente como un país con una tasa de paro insignificante, contaba a finales de Febrero con 3,27 millones de demandantes de empleo, lo que supone 180.000 personas más que en enero.
Postion	Tokenization
1	Japón
2	,
3	considerado
4	tradicionalmente
5	como
6	un
7	país
8	con
9	una
10	tasa
11	de
12	paro
13	insignificante
14	,
15	contaba
16	a
17	finales
18	de
19	Febrero
20	con
21	3,27
22	millones
23	de
24	demandantes
25	de
26	empleo
27	,
28	lo
29	que
30	supone
31	180.000
32	personas
33	más
34	que
35	en
36	enero
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Japón	PROPN	15	nsubj
2	,	PUNCT	3	punct
3	considerado	ADJ	1	amod
4	tradicionalmente	ADV	3	advmod
5	como	SCONJ	7	mark
6	un	DET	7	det
7	país	NOUN	3	obj
8	con	ADP	10	case
9	una	DET	10	det
10	tasa	NOUN	7	nmod
11	de	ADP	12	case
12	paro	NOUN	10	nmod
13	insignificante	ADJ	10	amod
14	,	PUNCT	3	punct
15	contaba	VERB	0	root
16	a	ADP	19	case
17	finales	NOUN	16	fixed
18	de	ADP	16	fixed
19	Febrero	NOUN	15	obl
20	con	ADP	22	case
21	3,27	NUM	22	nummod
22	millones	NOUN	15	obj
23	de	ADP	24	case
24	demandantes	NOUN	22	nmod
25	de	ADP	26	case
26	empleo	NOUN	24	nmod
27	,	PUNCT	30	punct
28	lo	PRON	32	det
29	que	PRON	30	nsubj
30	supone	VERB	15	advcl
31	180.000	NUM	32	nummod
32	personas	NOUN	30	xcomp
33	más	ADV	30	advmod
34	que	SCONJ	36	mark
35	en	ADP	36	case
36	enero	NOUN	32	nmod
37	.	PUNCT	15	punct