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 ministro expresó además que el precio del dólar bajará en la medida en que el Gobierno controle el déficit público, principal causa de la desconfianza y volatilidad del mercado brasileño.
Postion	Tokenization
1	El
2	ministro
3	expresó
4	además
5	que
6	el
7	precio
8	del
9	dólar
10	bajará
11	en
12	la
13	medida
14	en
15	que
16	el
17	Gobierno
18	controle
19	el
20	déficit
21	público
22	,
23	principal
24	causa
25	de
26	la
27	desconfianza
28	y
29	volatilidad
30	del
31	mercado
32	brasileño
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	3	nsubj
3	expresó	VERB	0	root
4	además	ADV	3	advmod
5	que	SCONJ	10	mark
6	el	DET	7	det
7	precio	NOUN	10	nsubj
8	del	ADP	9	case
9	dólar	NOUN	7	nmod
10	bajará	VERB	3	ccomp
11	en	ADP	18	mark
12	la	DET	11	fixed
13	medida	NOUN	11	fixed
14	en	ADP	11	fixed
15	que	SCONJ	11	fixed
16	el	DET	17	det
17	Gobierno	PROPN	18	nsubj
18	controle	VERB	10	advcl
19	el	DET	20	det
20	déficit	NOUN	18	obj
21	público	ADJ	20	amod
22	,	PUNCT	24	punct
23	principal	ADJ	24	amod
24	causa	NOUN	20	appos
25	de	ADP	27	case
26	la	DET	27	det
27	desconfianza	NOUN	24	nmod
28	y	CCONJ	29	cc
29	volatilidad	NOUN	27	conj
30	del	ADP	31	case
31	mercado	NOUN	27	nmod
32	brasileño	ADJ	31	amod
33	.	PUNCT	3	punct