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 Zubía, en el caso de las mujeres esta tendencia es "aún más grave", ya que "siguen decantándose por las profesiones tradicionalmente femeninas", lo que sitúa al 48 por ciento de las mujeres en carreras de bajo o muy bajo grado de inserción laboral frente a un 28 por ciento de los hombres.
Postion	Tokenization
1	Según
2	Zubía
3	,
4	en
5	el
6	caso
7	de
8	las
9	mujeres
10	esta
11	tendencia
12	es
13	"
14	aún
15	más
16	grave
17	"
18	,
19	ya
20	que
21	"
22	siguen
23	decantándose
24	decantando
25	se
26	por
27	las
28	profesiones
29	tradicionalmente
30	femeninas
31	"
32	,
33	lo
34	que
35	sitúa
36	al
37	48
38	por
39	ciento
40	de
41	las
42	mujeres
43	en
44	carreras
45	de
46	bajo
47	o
48	muy
49	bajo
50	grado
51	de
52	inserción
53	laboral
54	frente
55	a
56	un
57	28
58	por
59	ciento
60	de
61	los
62	hombres
63	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Zubía	PROPN	16	obl
3	,	PUNCT	2	punct
4	en	ADP	6	case
5	el	DET	6	det
6	caso	NOUN	16	obl
7	de	ADP	9	case
8	las	DET	9	det
9	mujeres	NOUN	6	nmod
10	esta	DET	11	det
11	tendencia	NOUN	16	nsubj
12	es	AUX	16	cop
13	"	PUNCT	16	punct
14	aún	ADV	16	advmod
15	más	ADV	16	advmod
16	grave	ADJ	0	root
17	"	PUNCT	16	punct
18	,	PUNCT	22	punct
19	ya	ADV	22	mark
20	que	SCONJ	19	fixed
21	"	PUNCT	22	punct
22	siguen	VERB	16	advcl
23	decantándose	_	None	_
24	decantando	VERB	22	xcomp
25	se	PRON	23	expl:pv
26	por	ADP	27	case
27	las	DET	27	det
28	profesiones	NOUN	23	obj
29	tradicionalmente	ADV	29	advmod
30	femeninas	ADJ	27	amod
31	"	PUNCT	34	punct
32	,	PUNCT	34	punct
33	lo	PRON	34	det
34	que	PRON	34	nsubj
35	sitúa	VERB	23	advcl
36	al	ADP	36	case
37	48	NUM	34	obj
38	por	ADP	38	case
39	ciento	NUM	36	compound
40	de	ADP	41	case
41	las	DET	41	det
42	mujeres	NOUN	36	nmod
43	en	ADP	43	case
44	carreras	NOUN	34	obl
45	de	ADP	49	case
46	bajo	ADJ	49	amod
47	o	CCONJ	48	cc
48	muy	ADV	48	advmod
49	bajo	ADJ	45	conj
50	grado	NOUN	43	nmod
51	de	ADP	51	case
52	inserción	NOUN	49	nmod
53	laboral	ADJ	51	amod
54	frente	NOUN	56	case
55	a	ADP	53	fixed
56	un	DET	56	det
57	28	NUM	34	obl
58	por	ADP	58	case
59	ciento	NUM	56	compound
60	de	ADP	61	case
61	los	DET	61	det
62	hombres	NOUN	56	nmod
63	.	PUNCT	16	punct