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 Gobierno cuenta con que el deterioro del sector exterior podrá restar hasta 1,6 puntos al crecimiento económico de 1999, que se prevé del 3,5%.
Postion	Tokenization
1	El
2	Gobierno
3	cuenta
4	con
5	que
6	el
7	deterioro
8	del
9	sector
10	exterior
11	podrá
12	restar
13	hasta
14	1,6
15	puntos
16	al
17	crecimiento
18	económico
19	de
20	1999
21	,
22	que
23	se
24	prevé
25	del
26	3,5%
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	3	nsubj
3	cuenta	VERB	0	root
4	con	ADP	12	mark
5	que	SCONJ	12	mark
6	el	DET	7	det
7	deterioro	NOUN	12	nsubj
8	del	ADP	9	case
9	sector	NOUN	7	nmod
10	exterior	ADJ	9	amod
11	podrá	AUX	12	aux
12	restar	VERB	3	ccomp
13	hasta	ADV	15	advmod
14	1,6	NUM	15	nummod
15	puntos	NOUN	12	obj
16	al	ADP	17	case
17	crecimiento	NOUN	12	obj
18	económico	ADJ	17	amod
19	de	ADP	20	case
20	1999	NOUN	17	nmod
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	prevé	VERB	17	acl
25	del	ADP	26	case
26	3,5%	SYM	24	obl
27	.	PUNCT	3	punct