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:
En opinión de Cristina Urbano, analista de la sociedad GVC, "el castigo que han sufrido los valores tecnológicos durante los últimos seis meses hace prever un periodo de recuperación selectiva".
Postion	Tokenization
1	En
2	opinión
3	de
4	Cristina
5	Urbano
6	,
7	analista
8	de
9	la
10	sociedad
11	GVC
12	,
13	"
14	el
15	castigo
16	que
17	han
18	sufrido
19	los
20	valores
21	tecnológicos
22	durante
23	los
24	últimos
25	seis
26	meses
27	hace
28	prever
29	un
30	periodo
31	de
32	recuperación
33	selectiva
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	opinión	NOUN	27	obl
3	de	ADP	4	case
4	Cristina	PROPN	2	nmod
5	Urbano	PROPN	4	flat
6	,	PUNCT	7	punct
7	analista	NOUN	4	appos
8	de	ADP	10	case
9	la	DET	10	det
10	sociedad	NOUN	7	nmod
11	GVC	PROPN	10	appos
12	,	PUNCT	7	punct
13	"	PUNCT	27	punct
14	el	DET	15	det
15	castigo	NOUN	27	nsubj
16	que	PRON	18	obj
17	han	AUX	18	aux
18	sufrido	VERB	15	acl
19	los	DET	20	det
20	valores	NOUN	18	nsubj
21	tecnológicos	ADJ	20	amod
22	durante	ADP	26	case
23	los	DET	26	det
24	últimos	ADJ	23	amod
25	seis	NUM	23	nummod
26	meses	NOUN	18	obl
27	hace	VERB	0	root
28	prever	VERB	27	xcomp
29	un	DET	30	det
30	periodo	NOUN	27	obj
31	de	ADP	32	case
32	recuperación	NOUN	30	nmod
33	selectiva	ADJ	32	amod
34	"	PUNCT	27	punct
35	.	PUNCT	27	punct