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:
La patronal vasca, Confebask, llamó hoy la atención sobre la existencia en la Comunidad Autónoma Vasca de 18.000 puestos de trabajo sin cubrir debido a la falta de mano de obra adecuada, cuya incorporación al mercado laboral reduciría las previsiones sobre la tasa de paro para el año 2003 en dos puntos.
Postion	Tokenization
1	La
2	patronal
3	vasca
4	,
5	Confebask
6	,
7	llamó
8	hoy
9	la
10	atención
11	sobre
12	la
13	existencia
14	en
15	la
16	Comunidad
17	Autónoma
18	Vasca
19	de
20	18.000
21	puestos
22	de
23	trabajo
24	sin
25	cubrir
26	debido
27	a
28	la
29	falta
30	de
31	mano
32	de
33	obra
34	adecuada
35	,
36	cuya
37	incorporación
38	al
39	mercado
40	laboral
41	reduciría
42	las
43	previsiones
44	sobre
45	la
46	tasa
47	de
48	paro
49	para
50	el
51	año
52	2003
53	en
54	dos
55	puntos
56	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	patronal	NOUN	7	nsubj
3	vasca	ADJ	2	amod
4	,	PUNCT	5	punct
5	Confebask	PROPN	2	appos
6	,	PUNCT	5	punct
7	llamó	VERB	0	root
8	hoy	ADV	7	advmod
9	la	DET	10	det
10	atención	NOUN	7	obj
11	sobre	ADP	13	case
12	la	DET	13	det
13	existencia	NOUN	7	obl
14	en	ADP	16	case
15	la	DET	16	det
16	Comunidad	PROPN	13	nmod
17	Autónoma	PROPN	16	flat
18	Vasca	PROPN	16	flat
19	de	ADP	21	case
20	18.000	NUM	21	nummod
21	puestos	NOUN	13	nmod
22	de	ADP	23	case
23	trabajo	NOUN	21	nmod
24	sin	ADP	25	mark
25	cubrir	VERB	21	acl
26	debido	ADJ	29	case
27	a	ADP	26	fixed
28	la	DET	29	det
29	falta	NOUN	25	obl
30	de	ADP	31	case
31	mano	NOUN	29	nmod
32	de	ADP	33	case
33	obra	NOUN	31	nmod
34	adecuada	ADJ	31	amod
35	,	PUNCT	41	punct
36	cuya	PRON	37	nmod
37	incorporación	NOUN	41	nsubj
38	al	ADP	39	case
39	mercado	NOUN	37	nmod
40	laboral	ADJ	39	amod
41	reduciría	VERB	31	acl
42	las	DET	43	det
43	previsiones	NOUN	41	obj
44	sobre	ADP	46	case
45	la	DET	46	det
46	tasa	NOUN	43	nmod
47	de	ADP	48	case
48	paro	NOUN	46	nmod
49	para	ADP	51	case
50	el	DET	51	det
51	año	NOUN	43	nmod
52	2003	NUM	51	compound
53	en	ADP	55	case
54	dos	NUM	55	nummod
55	puntos	NOUN	41	obl
56	.	PUNCT	7	punct