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:
La industria química, con un 1,4%, registró el alza más importante, mientras los productos alimenticios, bebidas y tabaco, con un 0,2%, fueron los menos inflacionistas.
Postion	Tokenization
1	La
2	industria
3	química
4	,
5	con
6	un
7	1,4%
8	,
9	registró
10	el
11	alza
12	más
13	importante
14	,
15	mientras
16	los
17	productos
18	alimenticios
19	,
20	bebidas
21	y
22	tabaco
23	,
24	con
25	un
26	0,2%
27	,
28	fueron
29	los
30	menos
31	inflacionistas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	industria	NOUN	9	nsubj
3	química	ADJ	2	amod
4	,	PUNCT	7	punct
5	con	ADP	7	case
6	un	DET	7	det
7	1,4%	SYM	2	nmod
8	,	PUNCT	7	punct
9	registró	VERB	0	root
10	el	DET	11	det
11	alza	NOUN	9	obj
12	más	ADV	13	advmod
13	importante	ADJ	11	amod
14	,	PUNCT	31	punct
15	mientras	CCONJ	31	cc
16	los	DET	17	det
17	productos	NOUN	31	nsubj
18	alimenticios	ADJ	17	amod
19	,	PUNCT	20	punct
20	bebidas	NOUN	17	appos
21	y	CCONJ	22	cc
22	tabaco	NOUN	20	conj
23	,	PUNCT	20	punct
24	con	ADP	26	case
25	un	DET	26	det
26	0,2%	SYM	17	nmod
27	,	PUNCT	26	punct
28	fueron	AUX	31	cop
29	los	DET	31	det
30	menos	ADV	31	advmod
31	inflacionistas	ADJ	9	conj
32	.	PUNCT	9	punct