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 el primer trimestre de este año, la tasa del PIB fue del 2,2 por ciento, una de las más bajas desde 1996, mientras que el Indice del Volumen de la Actividad Económica también descendió.
Postion	Tokenization
1	En
2	el
3	primer
4	trimestre
5	de
6	este
7	año
8	,
9	la
10	tasa
11	del
12	PIB
13	fue
14	del
15	2,2
16	por
17	ciento
18	,
19	una
20	de
21	las
22	más
23	bajas
24	desde
25	1996
26	,
27	mientras
28	que
29	el
30	Indice
31	del
32	Volumen
33	de
34	la
35	Actividad
36	Económica
37	también
38	descendió
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	el	DET	4	det
3	primer	ADJ	4	amod
4	trimestre	NOUN	15	obl
5	de	ADP	7	case
6	este	DET	7	det
7	año	NOUN	4	nmod
8	,	PUNCT	4	punct
9	la	DET	10	det
10	tasa	NOUN	15	nsubj
11	del	ADP	12	case
12	PIB	PROPN	10	nmod
13	fue	AUX	15	cop
14	del	ADP	15	case
15	2,2	NUM	27	parataxis
16	por	ADP	17	case
17	ciento	NUM	15	compound
18	,	PUNCT	19	punct
19	una	PRON	15	appos
20	de	ADP	23	case
21	las	DET	23	det
22	más	ADV	23	advmod
23	bajas	ADJ	19	amod
24	desde	ADP	25	case
25	1996	NOUN	23	nmod
26	,	PUNCT	27	punct
27	mientras	CCONJ	0	root
28	que	SCONJ	27	fixed
29	el	DET	30	det
30	Indice	PROPN	38	nsubj
31	del	ADP	32	case
32	Volumen	PROPN	30	flat
33	de	ADP	35	case
34	la	DET	35	det
35	Actividad	PROPN	30	flat
36	Económica	PROPN	35	flat
37	también	ADV	38	advmod
38	descendió	VERB	27	parataxis
39	.	PUNCT	27	punct