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:
Zubía explicó que, además del "vertiginoso avance tecnológico" de los últimos años, el desprestigio sufrido por la Formación Profesional (FP) ha provocado un abandono de estos oficios en favor de una concentración de estudiantes en carreras universitarias de bajo o muy bajo grado de inserción laboral, como el Derecho o Psicología.
Postion	Tokenization
1	Zubía
2	explicó
3	que
4	,
5	además
6	del
7	"
8	vertiginoso
9	avance
10	tecnológico
11	"
12	de
13	los
14	últimos
15	años
16	,
17	el
18	desprestigio
19	sufrido
20	por
21	la
22	Formación
23	Profesional
24	(
25	FP
26	)
27	ha
28	provocado
29	un
30	abandono
31	de
32	estos
33	oficios
34	en
35	favor
36	de
37	una
38	concentración
39	de
40	estudiantes
41	en
42	carreras
43	universitarias
44	de
45	bajo
46	o
47	muy
48	bajo
49	grado
50	de
51	inserción
52	laboral
53	,
54	como
55	el
56	Derecho
57	o
58	Psicología
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Zubía	PROPN	2	nsubj
2	explicó	VERB	0	root
3	que	SCONJ	28	mark
4	,	PUNCT	9	punct
5	además	ADV	9	case
6	del	ADP	5	fixed
7	"	PUNCT	9	punct
8	vertiginoso	ADJ	9	amod
9	avance	NOUN	28	obl
10	tecnológico	ADJ	9	amod
11	"	PUNCT	9	punct
12	de	ADP	15	case
13	los	DET	15	det
14	últimos	ADJ	15	amod
15	años	NOUN	9	nmod
16	,	PUNCT	9	punct
17	el	DET	18	det
18	desprestigio	NOUN	28	nsubj
19	sufrido	ADJ	18	amod
20	por	ADP	22	case
21	la	DET	22	det
22	Formación	PROPN	19	obj
23	Profesional	PROPN	22	flat
24	(	PUNCT	25	punct
25	FP	PROPN	22	flat
26	)	PUNCT	25	punct
27	ha	AUX	28	aux
28	provocado	VERB	2	ccomp
29	un	DET	30	det
30	abandono	NOUN	28	obj
31	de	ADP	33	case
32	estos	DET	33	det
33	oficios	NOUN	30	nmod
34	en	ADP	38	case
35	favor	NOUN	34	fixed
36	de	ADP	34	fixed
37	una	DET	38	det
38	concentración	NOUN	30	nmod
39	de	ADP	40	case
40	estudiantes	NOUN	38	nmod
41	en	ADP	42	case
42	carreras	NOUN	38	nmod
43	universitarias	ADJ	42	amod
44	de	ADP	49	case
45	bajo	ADJ	49	amod
46	o	CCONJ	48	cc
47	muy	ADV	48	advmod
48	bajo	ADJ	45	conj
49	grado	NOUN	42	nmod
50	de	ADP	51	case
51	inserción	NOUN	49	nmod
52	laboral	ADJ	51	amod
53	,	PUNCT	56	punct
54	como	ADP	56	case
55	el	DET	56	det
56	Derecho	PROPN	42	nmod
57	o	CCONJ	58	cc
58	Psicología	PROPN	56	conj
59	.	PUNCT	2	punct