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:
La moneda brasileña se recuperó ayer alrededor del 10% frente al dólar en su mayor recuperación tras las últimas semanas de crisis, y cerró a 1,91 unidades por divisa de EEUU.
Postion	Tokenization
1	La
2	moneda
3	brasileña
4	se
5	recuperó
6	ayer
7	alrededor
8	del
9	10%
10	frente
11	al
12	dólar
13	en
14	su
15	mayor
16	recuperación
17	tras
18	las
19	últimas
20	semanas
21	de
22	crisis
23	,
24	y
25	cerró
26	a
27	1,91
28	unidades
29	por
30	divisa
31	de
32	EEUU
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	moneda	NOUN	5	nsubj
3	brasileña	ADJ	2	amod
4	se	PRON	5	expl:pv
5	recuperó	VERB	0	root
6	ayer	ADV	5	advmod
7	alrededor	ADV	5	advmod
8	del	ADP	9	case
9	10%	SYM	7	obl
10	frente	NOUN	12	case
11	al	ADP	10	fixed
12	dólar	NOUN	9	nmod
13	en	ADP	16	case
14	su	DET	16	det
15	mayor	ADJ	16	amod
16	recuperación	NOUN	5	obl
17	tras	ADP	20	case
18	las	DET	20	det
19	últimas	ADJ	20	amod
20	semanas	NOUN	16	nmod
21	de	ADP	22	case
22	crisis	NOUN	20	nmod
23	,	PUNCT	25	punct
24	y	CCONJ	25	cc
25	cerró	VERB	5	conj
26	a	ADP	28	case
27	1,91	NUM	28	nummod
28	unidades	NOUN	25	obl
29	por	ADP	30	case
30	divisa	NOUN	28	nmod
31	de	ADP	32	case
32	EEUU	PROPN	30	nmod
33	.	PUNCT	5	punct