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:
Las amas de casa mexicanas destinan cada año unos 3.000 millones de pesos (316 millones de dólares) a la compra de granulados en distintas presentaciones.
Postion	Tokenization
1	Las
2	amas
3	de
4	casa
5	mexicanas
6	destinan
7	cada
8	año
9	unos
10	3.000
11	millones
12	de
13	pesos
14	(
15	316
16	millones
17	de
18	dólares
19	)
20	a
21	la
22	compra
23	de
24	granulados
25	en
26	distintas
27	presentaciones
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	amas	NOUN	6	nsubj
3	de	ADP	4	case
4	casa	NOUN	2	nmod
5	mexicanas	ADJ	2	amod
6	destinan	VERB	0	root
7	cada	DET	8	det
8	año	NOUN	6	obl
9	unos	PRON	10	nmod
10	3.000	NUM	11	nummod
11	millones	NOUN	6	obj
12	de	ADP	13	case
13	pesos	NOUN	11	nmod
14	(	PUNCT	16	punct
15	316	NUM	16	nummod
16	millones	NOUN	11	appos
17	de	ADP	18	case
18	dólares	NOUN	16	nmod
19	)	PUNCT	16	punct
20	a	ADP	22	case
21	la	DET	22	det
22	compra	NOUN	6	obj
23	de	ADP	24	case
24	granulados	NOUN	22	nmod
25	en	ADP	27	case
26	distintas	DET	27	det
27	presentaciones	NOUN	24	nmod
28	.	PUNCT	6	punct