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:
A juicio de Llamazares, su coalición antepone que tanto PSOE como IU respondan a la "ilusión, demanda y expectativa social que se ha creado en la izquierda con la posibilidad de este acuerdo".
Postion	Tokenization
1	A
2	juicio
3	de
4	Llamazares
5	,
6	su
7	coalición
8	antepone
9	que
10	tanto
11	PSOE
12	como
13	IU
14	respondan
15	a
16	la
17	"
18	ilusión
19	,
20	demanda
21	y
22	expectativa
23	social
24	que
25	se
26	ha
27	creado
28	en
29	la
30	izquierda
31	con
32	la
33	posibilidad
34	de
35	este
36	acuerdo
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	juicio	NOUN	1	fixed
3	de	ADP	1	fixed
4	Llamazares	PROPN	8	obl
5	,	PUNCT	4	punct
6	su	DET	7	det
7	coalición	NOUN	8	nsubj
8	antepone	VERB	0	root
9	que	SCONJ	14	mark
10	tanto	ADV	11	cc
11	PSOE	PROPN	14	nsubj
12	como	SCONJ	13	cc
13	IU	PROPN	11	conj
14	respondan	VERB	8	ccomp
15	a	ADP	18	case
16	la	DET	18	det
17	"	PUNCT	18	punct
18	ilusión	NOUN	14	obj
19	,	PUNCT	20	punct
20	demanda	NOUN	18	conj
21	y	CCONJ	22	cc
22	expectativa	NOUN	18	conj
23	social	ADJ	22	amod
24	que	PRON	27	nsubj
25	se	PRON	27	expl:pass
26	ha	AUX	27	aux
27	creado	VERB	18	acl
28	en	ADP	30	case
29	la	DET	30	det
30	izquierda	NOUN	27	obl
31	con	ADP	33	case
32	la	DET	33	det
33	posibilidad	NOUN	27	obl
34	de	ADP	36	case
35	este	DET	36	det
36	acuerdo	NOUN	33	nmod
37	"	PUNCT	18	punct
38	.	PUNCT	8	punct