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:
Aplicar el saber con eficacia y calidad es lo que los ciudadanos nos piden cada vez más a los médicos, y a veces parece como si lo hayamos perdido de vista.
Postion	Tokenization
1	Aplicar
2	el
3	saber
4	con
5	eficacia
6	y
7	calidad
8	es
9	lo
10	que
11	los
12	ciudadanos
13	nos
14	piden
15	cada
16	vez
17	más
18	a
19	los
20	médicos
21	,
22	y
23	a
24	veces
25	parece
26	como
27	si
28	lo
29	hayamos
30	perdido
31	de
32	vista
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Aplicar	VERB	8	csubj
2	el	DET	3	det
3	saber	NOUN	1	obj
4	con	ADP	5	case
5	eficacia	NOUN	1	obl
6	y	CCONJ	7	cc
7	calidad	NOUN	5	conj
8	es	AUX	0	root
9	lo	PRON	14	det
10	que	PRON	14	obj
11	los	DET	12	det
12	ciudadanos	NOUN	14	nsubj
13	nos	PRON	14	iobj
14	piden	VERB	8	ccomp
15	cada	DET	16	det
16	vez	NOUN	14	obl
17	más	ADV	16	advmod
18	a	ADP	20	case
19	los	DET	20	det
20	médicos	NOUN	14	obj
21	,	PUNCT	25	punct
22	y	CCONJ	25	cc
23	a	ADP	25	advmod
24	veces	NOUN	23	fixed
25	parece	VERB	8	advcl
26	como	SCONJ	30	mark
27	si	SCONJ	30	mark
28	lo	PRON	30	obj
29	hayamos	AUX	30	aux
30	perdido	VERB	25	ccomp
31	de	ADP	32	case
32	vista	NOUN	30	obl
33	.	PUNCT	8	punct