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 un estudio que presentó hoy el secretario general de la patronal vasca, José Guillermo Zubía, las profesiones relacionadas con las altas tecnologías, los oficios tradicionales y los empleos de poca cualificación son los que más escasez de trabajadores tienen, en especial, los de la industria y la construcción.
Postion	Tokenization
1	Según
2	un
3	estudio
4	que
5	presentó
6	hoy
7	el
8	secretario
9	general
10	de
11	la
12	patronal
13	vasca
14	,
15	José
16	Guillermo
17	Zubía
18	,
19	las
20	profesiones
21	relacionadas
22	con
23	las
24	altas
25	tecnologías
26	,
27	los
28	oficios
29	tradicionales
30	y
31	los
32	empleos
33	de
34	poca
35	cualificación
36	son
37	los
38	que
39	más
40	escasez
41	de
42	trabajadores
43	tienen
44	,
45	en
46	especial
47	,
48	los
49	de
50	la
51	industria
52	y
53	la
54	construcción
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	un	DET	3	det
3	estudio	NOUN	36	obl
4	que	PRON	5	obj
5	presentó	VERB	3	acl
6	hoy	ADV	5	advmod
7	el	DET	8	det
8	secretario	NOUN	5	nsubj
9	general	ADJ	8	amod
10	de	ADP	12	case
11	la	DET	12	det
12	patronal	NOUN	8	nmod
13	vasca	ADJ	12	amod
14	,	PUNCT	15	punct
15	José	PROPN	8	appos
16	Guillermo	PROPN	15	flat
17	Zubía	PROPN	15	flat
18	,	PUNCT	15	punct
19	las	DET	20	det
20	profesiones	NOUN	36	nsubj
21	relacionadas	ADJ	20	amod
22	con	ADP	25	case
23	las	DET	25	det
24	altas	ADJ	25	amod
25	tecnologías	NOUN	21	obj
26	,	PUNCT	28	punct
27	los	DET	28	det
28	oficios	NOUN	20	appos
29	tradicionales	ADJ	28	amod
30	y	CCONJ	32	cc
31	los	DET	32	det
32	empleos	NOUN	20	conj
33	de	ADP	35	case
34	poca	DET	35	det
35	cualificación	NOUN	32	nmod
36	son	AUX	0	root
37	los	DET	43	det
38	que	PRON	43	nsubj
39	más	ADV	40	advmod
40	escasez	NOUN	43	obj
41	de	ADP	42	case
42	trabajadores	NOUN	40	nmod
43	tienen	VERB	36	ccomp
44	,	PUNCT	45	punct
45	en	ADP	43	obj
46	especial	ADJ	45	fixed
47	,	PUNCT	45	punct
48	los	DET	45	det
49	de	ADP	45	case
50	la	DET	51	det
51	industria	NOUN	45	nmod
52	y	CCONJ	54	cc
53	la	DET	54	det
54	construcción	NOUN	51	conj
55	.	PUNCT	36	punct