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:
Favorece la aparición legítima de centros privados que intentan curar a precios elevadísimos, pero discrimina a las pacientes con menos medios, cuando se trata de una enfermedad completamente interclasista.
Postion	Tokenization
1	Favorece
2	la
3	aparición
4	legítima
5	de
6	centros
7	privados
8	que
9	intentan
10	curar
11	a
12	precios
13	elevadísimos
14	,
15	pero
16	discrimina
17	a
18	las
19	pacientes
20	con
21	menos
22	medios
23	,
24	cuando
25	se
26	trata
27	de
28	una
29	enfermedad
30	completamente
31	interclasista
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Favorece	VERB	0	root
2	la	DET	3	det
3	aparición	NOUN	1	obj
4	legítima	ADJ	3	amod
5	de	ADP	6	case
6	centros	NOUN	3	nmod
7	privados	ADJ	6	amod
8	que	PRON	9	nsubj
9	intentan	VERB	6	acl
10	curar	VERB	9	xcomp
11	a	ADP	12	case
12	precios	NOUN	10	obl
13	elevadísimos	ADJ	12	amod
14	,	PUNCT	16	punct
15	pero	CCONJ	16	cc
16	discrimina	VERB	1	conj
17	a	ADP	19	case
18	las	DET	19	det
19	pacientes	NOUN	16	obj
20	con	ADP	22	case
21	menos	ADV	22	advmod
22	medios	NOUN	19	nmod
23	,	PUNCT	26	punct
24	cuando	SCONJ	26	mark
25	se	PRON	26	expl:impers
26	trata	VERB	16	advcl
27	de	ADP	29	case
28	una	DET	29	det
29	enfermedad	NOUN	26	obj
30	completamente	ADV	31	advmod
31	interclasista	ADJ	29	amod
32	.	PUNCT	1	punct