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 de Hacienda de Brasil, Pedro Malan, afirmó ayer que el Gobierno tomará medidas para contener la especulación contra el real.
Postion	Tokenization
1	El
2	ministro
3	de
4	Hacienda
5	de
6	Brasil
7	,
8	Pedro
9	Malan
10	,
11	afirmó
12	ayer
13	que
14	el
15	Gobierno
16	tomará
17	medidas
18	para
19	contener
20	la
21	especulación
22	contra
23	el
24	real
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	11	nsubj
3	de	ADP	4	case
4	Hacienda	PROPN	2	nmod
5	de	ADP	6	case
6	Brasil	PROPN	2	nmod
7	,	PUNCT	8	punct
8	Pedro	PROPN	2	appos
9	Malan	PROPN	8	flat
10	,	PUNCT	8	punct
11	afirmó	VERB	0	root
12	ayer	ADV	11	advmod
13	que	SCONJ	16	mark
14	el	DET	15	det
15	Gobierno	PROPN	16	nsubj
16	tomará	VERB	11	ccomp
17	medidas	NOUN	16	obj
18	para	ADP	19	mark
19	contener	VERB	16	advcl
20	la	DET	21	det
21	especulación	NOUN	19	obj
22	contra	ADP	24	case
23	el	DET	24	det
24	real	NOUN	21	nmod
25	.	PUNCT	11	punct