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 mercado del café soluble en ese país lo dominan las multinacionales Nestlé y General Foods, que venden 43.500 toneladas cada año, de las cuales 12.500 son de liofilizado.
Postion	Tokenization
1	El
2	mercado
3	del
4	café
5	soluble
6	en
7	ese
8	país
9	lo
10	dominan
11	las
12	multinacionales
13	Nestlé
14	y
15	General
16	Foods
17	,
18	que
19	venden
20	43.500
21	toneladas
22	cada
23	año
24	,
25	de
26	las
27	cuales
28	12.500
29	son
30	de
31	liofilizado
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mercado	NOUN	10	iobj
3	del	ADP	4	case
4	café	NOUN	2	nmod
5	soluble	ADJ	4	amod
6	en	ADP	8	case
7	ese	DET	8	det
8	país	NOUN	2	nmod
9	lo	PRON	10	obj
10	dominan	VERB	0	root
11	las	DET	12	det
12	multinacionales	NOUN	10	nsubj
13	Nestlé	PROPN	12	appos
14	y	CCONJ	15	cc
15	General	PROPN	13	conj
16	Foods	PROPN	15	flat
17	,	PUNCT	19	punct
18	que	PRON	19	nsubj
19	venden	VERB	12	acl
20	43.500	NUM	21	nummod
21	toneladas	NOUN	19	obj
22	cada	DET	23	det
23	año	NOUN	19	obl
24	,	PUNCT	31	punct
25	de	ADP	27	case
26	las	DET	27	det
27	cuales	PRON	31	obj
28	12.500	NUM	31	nsubj
29	son	AUX	31	cop
30	de	ADP	31	case
31	liofilizado	ADJ	19	advcl
32	.	PUNCT	10	punct