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 Producto Interior Bruto (PIB) de Uruguay cayó un 3,4 por ciento durante el año pasado y el déficit fiscal subió del 1,9 al 3,9 por ciento, como consecuencia de la crisis brasileña.
Postion	Tokenization
1	El
2	Producto
3	Interior
4	Bruto
5	(
6	PIB
7	)
8	de
9	Uruguay
10	cayó
11	un
12	3,4
13	por
14	ciento
15	durante
16	el
17	año
18	pasado
19	y
20	el
21	déficit
22	fiscal
23	subió
24	del
25	1,9
26	al
27	3,9
28	por
29	ciento
30	,
31	como
32	consecuencia
33	de
34	la
35	crisis
36	brasileña
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Producto	PROPN	10	nsubj
3	Interior	PROPN	2	flat
4	Bruto	PROPN	2	flat
5	(	PUNCT	6	punct
6	PIB	PROPN	2	flat
7	)	PUNCT	6	punct
8	de	ADP	9	case
9	Uruguay	PROPN	2	nmod
10	cayó	VERB	0	root
11	un	DET	12	det
12	3,4	NUM	10	obl
13	por	ADP	14	case
14	ciento	NUM	12	compound
15	durante	ADP	17	case
16	el	DET	17	det
17	año	NOUN	10	obl
18	pasado	NOUN	17	compound
19	y	CCONJ	23	cc
20	el	DET	21	det
21	déficit	NOUN	23	nsubj
22	fiscal	ADJ	21	amod
23	subió	VERB	10	conj
24	del	ADP	25	case
25	1,9	NUM	23	obl
26	al	ADP	27	case
27	3,9	NUM	23	obl
28	por	ADP	29	case
29	ciento	NUM	27	compound
30	,	PUNCT	35	punct
31	como	SCONJ	35	case
32	consecuencia	NOUN	31	fixed
33	de	ADP	31	fixed
34	la	DET	35	det
35	crisis	NOUN	23	obl
36	brasileña	ADJ	35	amod
37	.	PUNCT	10	punct