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:
Jaime Blanco explicó que con la "vuelta y media" le ha quedado un "sentimiento agrio" porque considera que, "en alguna medida", con el voto útil ha "quedado desairada Matilde Fernández", candidata por la que previamente se había decantado el líder de los socialistas cántabros.
Postion	Tokenization
1	Jaime
2	Blanco
3	explicó
4	que
5	con
6	la
7	"
8	vuelta
9	y
10	media
11	"
12	le
13	ha
14	quedado
15	un
16	"
17	sentimiento
18	agrio
19	"
20	porque
21	considera
22	que
23	,
24	"
25	en
26	alguna
27	medida
28	"
29	,
30	con
31	el
32	voto
33	útil
34	ha
35	"
36	quedado
37	desairada
38	Matilde
39	Fernández
40	"
41	,
42	candidata
43	por
44	la
45	que
46	previamente
47	se
48	había
49	decantado
50	el
51	líder
52	de
53	los
54	socialistas
55	cántabros
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Jaime	PROPN	3	nsubj
2	Blanco	PROPN	1	flat
3	explicó	VERB	0	root
4	que	SCONJ	14	mark
5	con	ADP	8	case
6	la	DET	8	det
7	"	PUNCT	8	punct
8	vuelta	NOUN	14	obl
9	y	CCONJ	10	cc
10	media	NUM	8	conj
11	"	PUNCT	8	punct
12	le	PRON	14	obj
13	ha	AUX	14	aux
14	quedado	VERB	3	ccomp
15	un	DET	17	det
16	"	PUNCT	17	punct
17	sentimiento	NOUN	14	nsubj
18	agrio	ADJ	17	amod
19	"	PUNCT	17	punct
20	porque	SCONJ	21	mark
21	considera	VERB	14	advcl
22	que	SCONJ	36	mark
23	,	PUNCT	27	punct
24	"	PUNCT	27	punct
25	en	ADP	27	case
26	alguna	DET	27	det
27	medida	NOUN	36	obl
28	"	PUNCT	27	punct
29	,	PUNCT	27	punct
30	con	ADP	32	case
31	el	DET	32	det
32	voto	NOUN	36	obl
33	útil	ADJ	32	amod
34	ha	AUX	36	aux
35	"	PUNCT	36	punct
36	quedado	VERB	21	ccomp
37	desairada	ADJ	36	obj
38	Matilde	PROPN	36	nsubj
39	Fernández	PROPN	38	flat
40	"	PUNCT	42	punct
41	,	PUNCT	42	punct
42	candidata	NOUN	38	appos
43	por	ADP	45	case
44	la	DET	45	det
45	que	PRON	49	obj
46	previamente	ADV	49	advmod
47	se	PRON	49	expl:pv
48	había	AUX	49	aux
49	decantado	VERB	42	acl
50	el	DET	51	det
51	líder	NOUN	49	nsubj
52	de	ADP	54	case
53	los	DET	54	det
54	socialistas	NOUN	51	nmod
55	cántabros	ADJ	54	amod
56	.	PUNCT	3	punct