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 paro en Japón afecta en mayor medida a los hombres, que han superado la barrera del 5% situándose en Febrero en el 5,1%.
Postion	Tokenization
1	El
2	paro
3	en
4	Japón
5	afecta
6	en
7	mayor
8	medida
9	a
10	los
11	hombres
12	,
13	que
14	han
15	superado
16	la
17	barrera
18	del
19	5%
20	situándose
21	situando
22	se
23	en
24	Febrero
25	en
26	el
27	5,1%
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	paro	NOUN	5	nsubj
3	en	ADP	4	case
4	Japón	PROPN	2	nmod
5	afecta	VERB	0	root
6	en	ADP	8	case
7	mayor	ADJ	8	amod
8	medida	NOUN	5	obl
9	a	ADP	11	case
10	los	DET	11	det
11	hombres	NOUN	5	obj
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	han	AUX	15	aux
15	superado	VERB	11	acl
16	la	DET	17	det
17	barrera	NOUN	15	obj
18	del	ADP	19	case
19	5%	SYM	17	nmod
20	situándose	_	None	_
21	situando	VERB	15	advcl
22	se	PRON	20	expl:pv
23	en	ADP	23	case
24	Febrero	NOUN	20	obl
25	en	ADP	26	case
26	el	DET	26	det
27	5,1%	SYM	20	obj
28	.	PUNCT	5	punct