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 presidente de la Xunta, Manuel Fraga, opinó hoy en Santiago que "no parece" que el Gobierno vasco "haya reaccionado" ante el problema de la violencia callejera en esa Comunidad.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Xunta
6	,
7	Manuel
8	Fraga
9	,
10	opinó
11	hoy
12	en
13	Santiago
14	que
15	"
16	no
17	parece
18	"
19	que
20	el
21	Gobierno
22	vasco
23	"
24	haya
25	reaccionado
26	"
27	ante
28	el
29	problema
30	de
31	la
32	violencia
33	callejera
34	en
35	esa
36	Comunidad
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Xunta	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Manuel	PROPN	2	appos
8	Fraga	PROPN	7	flat
9	,	PUNCT	7	punct
10	opinó	VERB	0	root
11	hoy	ADV	10	advmod
12	en	ADP	13	case
13	Santiago	PROPN	10	obl
14	que	SCONJ	17	mark
15	"	PUNCT	17	punct
16	no	ADV	17	advmod
17	parece	VERB	10	ccomp
18	"	PUNCT	17	punct
19	que	SCONJ	17	mark
20	el	DET	21	det
21	Gobierno	PROPN	17	nsubj
22	vasco	ADJ	21	amod
23	"	PUNCT	17	punct
24	haya	AUX	17	aux
25	reaccionado	VERB	17	xcomp
26	"	PUNCT	17	punct
27	ante	ADP	29	case
28	el	DET	29	det
29	problema	NOUN	17	obl
30	de	ADP	32	case
31	la	DET	32	det
32	violencia	NOUN	29	nmod
33	callejera	ADJ	32	amod
34	en	ADP	36	case
35	esa	DET	36	det
36	Comunidad	PROPN	29	nmod
37	.	PUNCT	10	punct