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:
El conseller de Sanitat, Eduard Rius, ha asumido como "una realidad" el hecho de que los usuarios no confían, de momento, en los centros de atención continuada (CAC) de los barrios, y ha optado por volcar sus medios técnicos y económicos en reforzar los servicios de urgencias de los hospitales.
Postion	Tokenization
1	El
2	conseller
3	de
4	Sanitat
5	,
6	Eduard
7	Rius
8	,
9	ha
10	asumido
11	como
12	"
13	una
14	realidad
15	"
16	el
17	hecho
18	de
19	que
20	los
21	usuarios
22	no
23	confían
24	,
25	de
26	momento
27	,
28	en
29	los
30	centros
31	de
32	atención
33	continuada
34	(
35	CAC
36	)
37	de
38	los
39	barrios
40	,
41	y
42	ha
43	optado
44	por
45	volcar
46	sus
47	medios
48	técnicos
49	y
50	económicos
51	en
52	reforzar
53	los
54	servicios
55	de
56	urgencias
57	de
58	los
59	hospitales
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conseller	NOUN	10	nsubj
3	de	ADP	4	case
4	Sanitat	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Eduard	PROPN	2	appos
7	Rius	PROPN	6	flat
8	,	PUNCT	6	punct
9	ha	AUX	10	aux
10	asumido	VERB	0	root
11	como	SCONJ	14	mark
12	"	PUNCT	14	punct
13	una	DET	14	det
14	realidad	NOUN	10	obj
15	"	PUNCT	14	punct
16	el	DET	17	det
17	hecho	NOUN	10	obj
18	de	ADP	23	mark
19	que	SCONJ	23	mark
20	los	DET	21	det
21	usuarios	NOUN	23	nsubj
22	no	ADV	23	advmod
23	confían	VERB	17	acl
24	,	PUNCT	25	punct
25	de	ADP	23	advmod
26	momento	NOUN	25	fixed
27	,	PUNCT	25	punct
28	en	ADP	30	case
29	los	DET	30	det
30	centros	NOUN	23	obj
31	de	ADP	32	case
32	atención	NOUN	30	nmod
33	continuada	ADJ	32	amod
34	(	PUNCT	35	punct
35	CAC	PROPN	30	appos
36	)	PUNCT	35	punct
37	de	ADP	39	case
38	los	DET	39	det
39	barrios	NOUN	30	nmod
40	,	PUNCT	43	punct
41	y	CCONJ	43	cc
42	ha	AUX	43	aux
43	optado	VERB	10	conj
44	por	ADP	45	mark
45	volcar	VERB	43	xcomp
46	sus	DET	47	det
47	medios	NOUN	45	obj
48	técnicos	ADJ	47	amod
49	y	CCONJ	50	cc
50	económicos	ADJ	48	conj
51	en	ADP	52	mark
52	reforzar	VERB	45	advcl
53	los	DET	54	det
54	servicios	NOUN	52	obj
55	de	ADP	56	case
56	urgencias	NOUN	54	nmod
57	de	ADP	59	case
58	los	DET	59	det
59	hospitales	NOUN	54	nmod
60	.	PUNCT	10	punct