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:
Es evidente que quienes se preparan para pasar una prueba de evaluación de conocimientos (examen MIR) y al superarla siguen una formación reglada de varios años (entre tres y cinco, según la especialidad) tienen mejores condiciones para capacitarse como especialistas cualificados que quienes siguieron otros caminos.
Postion	Tokenization
1	Es
2	evidente
3	que
4	quienes
5	se
6	preparan
7	para
8	pasar
9	una
10	prueba
11	de
12	evaluación
13	de
14	conocimientos
15	(
16	examen
17	MIR
18	)
19	y
20	al
21	superarla
22	superar
23	la
24	siguen
25	una
26	formación
27	reglada
28	de
29	varios
30	años
31	(
32	entre
33	tres
34	y
35	cinco
36	,
37	según
38	la
39	especialidad
40	)
41	tienen
42	mejores
43	condiciones
44	para
45	capacitarse
46	capacitar
47	se
48	como
49	especialistas
50	cualificados
51	que
52	quienes
53	siguieron
54	otros
55	caminos
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	2	cop
2	evidente	ADJ	0	root
3	que	SCONJ	40	mark
4	quienes	PRON	6	nsubj
5	se	PRON	6	obj
6	preparan	VERB	40	csubj
7	para	ADP	8	mark
8	pasar	VERB	6	advcl
9	una	DET	10	det
10	prueba	NOUN	8	obj
11	de	ADP	12	case
12	evaluación	NOUN	10	nmod
13	de	ADP	14	case
14	conocimientos	NOUN	10	nmod
15	(	PUNCT	16	punct
16	examen	NOUN	10	appos
17	MIR	PROPN	16	appos
18	)	PUNCT	16	punct
19	y	CCONJ	23	cc
20	al	ADP	21	mark
21	superarla	_	None	_
22	superar	VERB	23	advcl
23	la	PRON	21	obj
24	siguen	VERB	6	conj
25	una	DET	25	det
26	formación	NOUN	23	obj
27	reglada	ADJ	25	amod
28	de	ADP	29	case
29	varios	DET	29	det
30	años	NOUN	25	nmod
31	(	PUNCT	32	punct
32	entre	ADP	32	case
33	tres	NUM	25	nummod
34	y	CCONJ	34	cc
35	cinco	NUM	32	conj
36	,	PUNCT	38	punct
37	según	ADP	38	case
38	la	DET	38	det
39	especialidad	NOUN	32	nmod
40	)	PUNCT	32	punct
41	tienen	VERB	2	csubj
42	mejores	ADJ	42	amod
43	condiciones	NOUN	40	obj
44	para	ADP	44	mark
45	capacitarse	_	None	_
46	capacitar	VERB	40	advcl
47	se	PRON	44	obj
48	como	SCONJ	47	mark
49	especialistas	NOUN	44	obj
50	cualificados	ADJ	47	amod
51	que	SCONJ	51	mark
52	quienes	PRON	51	nsubj
53	siguieron	VERB	40	advcl
54	otros	DET	53	det
55	caminos	NOUN	51	obj
56	.	PUNCT	2	punct