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:
El secretario general de Confebask propuso incidir en la sensibilización de la población y modificar la orientación profesional de los jóvenes como vías de solución a la escasez de trabajadores.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	Confebask
6	propuso
7	incidir
8	en
9	la
10	sensibilización
11	de
12	la
13	población
14	y
15	modificar
16	la
17	orientación
18	profesional
19	de
20	los
21	jóvenes
22	como
23	vías
24	de
25	solución
26	a
27	la
28	escasez
29	de
30	trabajadores
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	6	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	Confebask	PROPN	2	nmod
6	propuso	VERB	0	root
7	incidir	VERB	6	xcomp
8	en	ADP	10	case
9	la	DET	10	det
10	sensibilización	NOUN	7	obj
11	de	ADP	13	case
12	la	DET	13	det
13	población	NOUN	10	nmod
14	y	CCONJ	15	cc
15	modificar	VERB	7	conj
16	la	DET	17	det
17	orientación	NOUN	15	obj
18	profesional	ADJ	17	amod
19	de	ADP	21	case
20	los	DET	21	det
21	jóvenes	NOUN	17	nmod
22	como	ADP	23	case
23	vías	NOUN	6	iobj
24	de	ADP	25	case
25	solución	NOUN	23	nmod
26	a	ADP	28	case
27	la	DET	28	det
28	escasez	NOUN	25	nmod
29	de	ADP	30	case
30	trabajadores	NOUN	28	nmod
31	.	PUNCT	6	punct