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 primeras ventas comenzaron hace tres semanas en 225 supermercados de la cadena Sainsbury`s en Inglaterra, país que registra el mayor consumo de café soluble en Europa y donde ya se vendían mil toneladas de liofilizado a granel para máquinas de café soluble.
Postion	Tokenization
1	Las
2	primeras
3	ventas
4	comenzaron
5	hace
6	tres
7	semanas
8	en
9	225
10	supermercados
11	de
12	la
13	cadena
14	Sainsbury`s
15	en
16	Inglaterra
17	,
18	país
19	que
20	registra
21	el
22	mayor
23	consumo
24	de
25	café
26	soluble
27	en
28	Europa
29	y
30	donde
31	ya
32	se
33	vendían
34	mil
35	toneladas
36	de
37	liofilizado
38	a
39	granel
40	para
41	máquinas
42	de
43	café
44	soluble
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	3	det
2	primeras	ADJ	3	amod
3	ventas	NOUN	4	nsubj
4	comenzaron	VERB	0	root
5	hace	VERB	4	advcl
6	tres	NUM	7	nummod
7	semanas	NOUN	5	obj
8	en	ADP	10	case
9	225	NUM	10	nummod
10	supermercados	NOUN	4	obl
11	de	ADP	13	case
12	la	DET	13	det
13	cadena	NOUN	10	nmod
14	Sainsbury`s	PROPN	13	appos
15	en	ADP	16	case
16	Inglaterra	PROPN	13	nmod
17	,	PUNCT	18	punct
18	país	NOUN	16	appos
19	que	PRON	20	nsubj
20	registra	VERB	18	acl
21	el	DET	23	det
22	mayor	ADJ	23	amod
23	consumo	NOUN	20	obj
24	de	ADP	25	case
25	café	NOUN	23	nmod
26	soluble	ADJ	25	amod
27	en	ADP	28	case
28	Europa	PROPN	23	nmod
29	y	CCONJ	33	cc
30	donde	PRON	33	obl
31	ya	ADV	33	advmod
32	se	PRON	33	expl:pass
33	vendían	VERB	20	conj
34	mil	NUM	35	nummod
35	toneladas	NOUN	33	nsubj
36	de	ADP	37	case
37	liofilizado	ADJ	35	amod
38	a	ADP	35	advmod
39	granel	NOUN	38	fixed
40	para	ADP	41	case
41	máquinas	NOUN	35	nmod
42	de	ADP	43	case
43	café	NOUN	41	nmod
44	soluble	ADJ	43	amod
45	.	PUNCT	4	punct