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 1999, EEUU tuvo una inflación acumulada del 2,7 por ciento; en cambio, en Argentina, en vez de subir, los precios al consumo bajaron (deflación) un 1,8 por ciento.
Postion	Tokenization
1	En
2	1999
3	,
4	EEUU
5	tuvo
6	una
7	inflación
8	acumulada
9	del
10	2,7
11	por
12	ciento
13	;
14	en
15	cambio
16	,
17	en
18	Argentina
19	,
20	en
21	vez
22	de
23	subir
24	,
25	los
26	precios
27	al
28	consumo
29	bajaron
30	(
31	deflación
32	)
33	un
34	1,8
35	por
36	ciento
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1999	NOUN	5	obl
3	,	PUNCT	2	punct
4	EEUU	PROPN	5	nsubj
5	tuvo	VERB	0	root
6	una	DET	7	det
7	inflación	NOUN	5	obj
8	acumulada	ADJ	7	amod
9	del	ADP	10	case
10	2,7	NUM	7	nummod
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	;	PUNCT	5	punct
14	en	ADP	29	advmod
15	cambio	NOUN	14	fixed
16	,	PUNCT	18	punct
17	en	ADP	18	case
18	Argentina	PROPN	29	obl
19	,	PUNCT	18	punct
20	en	ADP	23	mark
21	vez	NOUN	20	fixed
22	de	ADP	20	fixed
23	subir	VERB	29	advcl
24	,	PUNCT	23	punct
25	los	DET	26	det
26	precios	NOUN	29	nsubj
27	al	ADP	28	case
28	consumo	NOUN	26	nmod
29	bajaron	VERB	5	advcl
30	(	PUNCT	31	punct
31	deflación	NOUN	29	dep
32	)	PUNCT	31	punct
33	un	DET	34	det
34	1,8	NUM	29	obj
35	por	ADP	36	case
36	ciento	NUM	34	compound
37	.	PUNCT	5	punct