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:
Durante el primer trimestre del año, el virtual estancamiento de las exportaciones y el incremento en un 5% de las importaciones han hecho que el déficit comercial (diferencia entre exportaciones e importaciones) se sitúe en 795.800 millones.
Postion	Tokenization
1	Durante
2	el
3	primer
4	trimestre
5	del
6	año
7	,
8	el
9	virtual
10	estancamiento
11	de
12	las
13	exportaciones
14	y
15	el
16	incremento
17	en
18	un
19	5%
20	de
21	las
22	importaciones
23	han
24	hecho
25	que
26	el
27	déficit
28	comercial
29	(
30	diferencia
31	entre
32	exportaciones
33	e
34	importaciones
35	)
36	se
37	sitúe
38	en
39	795.800
40	millones
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	el	DET	4	det
3	primer	ADJ	4	amod
4	trimestre	NOUN	24	obl
5	del	ADP	6	case
6	año	NOUN	4	nmod
7	,	PUNCT	4	punct
8	el	DET	10	det
9	virtual	ADJ	10	amod
10	estancamiento	NOUN	24	nsubj
11	de	ADP	13	case
12	las	DET	13	det
13	exportaciones	NOUN	10	nmod
14	y	CCONJ	16	cc
15	el	DET	16	det
16	incremento	NOUN	10	conj
17	en	ADP	19	case
18	un	DET	19	det
19	5%	SYM	16	nmod
20	de	ADP	22	case
21	las	DET	22	det
22	importaciones	NOUN	19	nmod
23	han	AUX	24	aux
24	hecho	VERB	0	root
25	que	SCONJ	37	mark
26	el	DET	27	det
27	déficit	NOUN	37	nsubj
28	comercial	ADJ	27	amod
29	(	PUNCT	30	punct
30	diferencia	NOUN	27	appos
31	entre	ADP	32	case
32	exportaciones	NOUN	30	nmod
33	e	CCONJ	34	cc
34	importaciones	NOUN	32	conj
35	)	PUNCT	30	punct
36	se	PRON	37	expl:pv
37	sitúe	VERB	24	ccomp
38	en	ADP	40	case
39	795.800	NUM	40	nummod
40	millones	NOUN	37	obj
41	.	PUNCT	24	punct