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:
Según Blanco "se han perfilado dos sectores dentro del PSOE", el de la socialdemocracia, en el que se incluyó, que "cuenta con cerca del 20 por ciento de representación", y otro sector al que "no quiero dar ningún nombre", dijo.
Postion	Tokenization
1	Según
2	Blanco
3	"
4	se
5	han
6	perfilado
7	dos
8	sectores
9	dentro
10	del
11	PSOE
12	"
13	,
14	el
15	de
16	la
17	socialdemocracia
18	,
19	en
20	el
21	que
22	se
23	incluyó
24	,
25	que
26	"
27	cuenta
28	con
29	cerca
30	del
31	20
32	por
33	ciento
34	de
35	representación
36	"
37	,
38	y
39	otro
40	sector
41	al
42	que
43	"
44	no
45	quiero
46	dar
47	ningún
48	nombre
49	"
50	,
51	dijo
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Blanco	PROPN	6	obl
3	"	PUNCT	6	punct
4	se	PRON	6	expl:pv
5	han	AUX	6	aux
6	perfilado	VERB	0	root
7	dos	NUM	8	nummod
8	sectores	NOUN	6	nsubj
9	dentro	ADV	6	advmod
10	del	ADP	11	case
11	PSOE	PROPN	9	obl
12	"	PUNCT	6	punct
13	,	PUNCT	23	punct
14	el	DET	23	det
15	de	ADP	17	case
16	la	DET	17	det
17	socialdemocracia	NOUN	23	obj
18	,	PUNCT	23	punct
19	en	ADP	21	case
20	el	DET	21	det
21	que	PRON	23	obl
22	se	PRON	23	expl:pass
23	incluyó	VERB	6	ccomp
24	,	PUNCT	27	punct
25	que	PRON	27	nsubj
26	"	PUNCT	27	punct
27	cuenta	VERB	23	advcl
28	con	ADP	31	case
29	cerca	ADV	31	advmod
30	del	ADP	29	case
31	20	NUM	27	obj
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	de	ADP	35	case
35	representación	NOUN	31	nmod
36	"	PUNCT	27	punct
37	,	PUNCT	40	punct
38	y	CCONJ	40	cc
39	otro	DET	40	det
40	sector	NOUN	23	conj
41	al	ADP	42	case
42	que	PRON	45	iobj
43	"	PUNCT	45	punct
44	no	ADV	45	advmod
45	quiero	VERB	40	acl
46	dar	VERB	45	xcomp
47	ningún	DET	48	det
48	nombre	NOUN	46	obj
49	"	PUNCT	45	punct
50	,	PUNCT	51	punct
51	dijo	VERB	45	parataxis
52	.	PUNCT	6	punct