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:
Dólera calificó de "brillante, tanto en su aspecto cuantitativo como cualitativo" el trabajo realizado esta legislatura en el Congreso de los Diputados por Pedro Antonio Ríos, que repite candidatura, y de quién dijo que "es el diputado por excelencia de la Región de Murcia".
Postion	Tokenization
1	Dólera
2	calificó
3	de
4	"
5	brillante
6	,
7	tanto
8	en
9	su
10	aspecto
11	cuantitativo
12	como
13	cualitativo
14	"
15	el
16	trabajo
17	realizado
18	esta
19	legislatura
20	en
21	el
22	Congreso
23	de
24	los
25	Diputados
26	por
27	Pedro
28	Antonio
29	Ríos
30	,
31	que
32	repite
33	candidatura
34	,
35	y
36	de
37	quién
38	dijo
39	que
40	"
41	es
42	el
43	diputado
44	por
45	excelencia
46	de
47	la
48	Región
49	de
50	Murcia
51	"
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Dólera	PROPN	2	nsubj
2	calificó	VERB	0	root
3	de	ADP	5	case
4	"	PUNCT	5	punct
5	brillante	ADJ	2	obj
6	,	PUNCT	10	punct
7	tanto	ADV	10	cc
8	en	ADP	10	case
9	su	DET	10	det
10	aspecto	NOUN	5	nmod
11	cuantitativo	ADJ	10	amod
12	como	SCONJ	13	cc
13	cualitativo	ADJ	10	conj
14	"	PUNCT	5	punct
15	el	DET	16	det
16	trabajo	NOUN	2	obj
17	realizado	ADJ	16	amod
18	esta	DET	19	det
19	legislatura	NOUN	17	obl
20	en	ADP	22	case
21	el	DET	22	det
22	Congreso	PROPN	17	obl
23	de	ADP	25	case
24	los	DET	25	det
25	Diputados	PROPN	22	flat
26	por	ADP	27	case
27	Pedro	PROPN	17	obj
28	Antonio	PROPN	27	flat
29	Ríos	PROPN	27	flat
30	,	PUNCT	32	punct
31	que	PRON	32	nsubj
32	repite	VERB	27	acl
33	candidatura	NOUN	32	obj
34	,	PUNCT	38	punct
35	y	CCONJ	38	cc
36	de	ADP	37	case
37	quién	PRON	38	iobj
38	dijo	VERB	32	conj
39	que	SCONJ	43	mark
40	"	PUNCT	43	punct
41	es	AUX	43	cop
42	el	DET	43	det
43	diputado	NOUN	38	ccomp
44	por	ADP	45	case
45	excelencia	NOUN	43	nmod
46	de	ADP	48	case
47	la	DET	48	det
48	Región	PROPN	43	nmod
49	de	ADP	50	case
50	Murcia	PROPN	48	flat
51	"	PUNCT	43	punct
52	.	PUNCT	2	punct