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:
En cuanto a EEUU, la producción industrial aumentó el 0,3%, mientras que en Japón se registró un descenso del 0,8% en ese mismo periodo.
Postion	Tokenization
1	En
2	cuanto
3	a
4	EEUU
5	,
6	la
7	producción
8	industrial
9	aumentó
10	el
11	0,3%
12	,
13	mientras
14	que
15	en
16	Japón
17	se
18	registró
19	un
20	descenso
21	del
22	0,8%
23	en
24	ese
25	mismo
26	periodo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	EEUU	PROPN	9	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	producción	NOUN	9	nsubj
8	industrial	ADJ	7	amod
9	aumentó	VERB	13	parataxis
10	el	DET	11	det
11	0,3%	SYM	9	obj
12	,	PUNCT	13	punct
13	mientras	CCONJ	0	root
14	que	SCONJ	13	fixed
15	en	ADP	16	case
16	Japón	PROPN	18	obl
17	se	PRON	18	expl:pass
18	registró	VERB	13	parataxis
19	un	DET	20	det
20	descenso	NOUN	18	nsubj
21	del	ADP	22	case
22	0,8%	SYM	20	nmod
23	en	ADP	26	case
24	ese	DET	26	det
25	mismo	DET	24	det
26	periodo	NOUN	18	obl
27	.	PUNCT	13	punct