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:
Una de las razones de este aumento del paro son los planes de reestructuración llevados a cabo por algunas de las grandes empresas japonesas.
Postion	Tokenization
1	Una
2	de
3	las
4	razones
5	de
6	este
7	aumento
8	del
9	paro
10	son
11	los
12	planes
13	de
14	reestructuración
15	llevados
16	a
17	cabo
18	por
19	algunas
20	de
21	las
22	grandes
23	empresas
24	japonesas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	PRON	12	nsubj
2	de	ADP	4	case
3	las	DET	4	det
4	razones	NOUN	1	nmod
5	de	ADP	7	case
6	este	DET	7	det
7	aumento	NOUN	4	nmod
8	del	ADP	9	case
9	paro	NOUN	7	nmod
10	son	AUX	12	cop
11	los	DET	12	det
12	planes	NOUN	0	root
13	de	ADP	14	case
14	reestructuración	NOUN	12	nmod
15	llevados	ADJ	12	amod
16	a	ADP	17	case
17	cabo	NOUN	15	nmod
18	por	ADP	19	case
19	algunas	PRON	15	obj
20	de	ADP	23	case
21	las	DET	23	det
22	grandes	ADJ	23	amod
23	empresas	NOUN	19	nmod
24	japonesas	ADJ	23	amod
25	.	PUNCT	12	punct