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:
Dado que los farmacéuticos trabajan con un margen de beneficio del 29,7% sobre el precio de venta al público y que existe un mercado potencial de más de un millón de consumidores, la posibilidad de negocio es enorme.
Postion	Tokenization
1	Dado
2	que
3	los
4	farmacéuticos
5	trabajan
6	con
7	un
8	margen
9	de
10	beneficio
11	del
12	29,7%
13	sobre
14	el
15	precio
16	de
17	venta
18	al
19	público
20	y
21	que
22	existe
23	un
24	mercado
25	potencial
26	de
27	más
28	de
29	un
30	millón
31	de
32	consumidores
33	,
34	la
35	posibilidad
36	de
37	negocio
38	es
39	enorme
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Dado	NOUN	5	mark
2	que	SCONJ	1	fixed
3	los	DET	4	det
4	farmacéuticos	NOUN	5	nsubj
5	trabajan	VERB	39	advcl
6	con	ADP	8	case
7	un	DET	8	det
8	margen	NOUN	5	obl
9	de	ADP	10	case
10	beneficio	NOUN	8	nmod
11	del	ADP	12	case
12	29,7%	SYM	8	nmod
13	sobre	ADP	15	case
14	el	DET	15	det
15	precio	NOUN	8	nmod
16	de	ADP	17	case
17	venta	NOUN	15	nmod
18	al	ADP	19	case
19	público	NOUN	17	nmod
20	y	CCONJ	22	cc
21	que	SCONJ	22	mark
22	existe	VERB	5	conj
23	un	DET	24	det
24	mercado	NOUN	22	nsubj
25	potencial	ADJ	24	amod
26	de	ADP	30	case
27	más	ADV	30	advmod
28	de	ADP	27	case
29	un	NUM	27	nummod
30	millón	NOUN	24	nmod
31	de	ADP	32	case
32	consumidores	NOUN	30	nmod
33	,	PUNCT	5	punct
34	la	DET	35	det
35	posibilidad	NOUN	39	nsubj
36	de	ADP	37	case
37	negocio	NOUN	35	nmod
38	es	AUX	39	cop
39	enorme	ADJ	0	root
40	.	PUNCT	39	punct