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 Empleo, Juan Chozas, dijo que hay que insistir en las políticas activas de empleo para conseguir que los colectivos con más problemas - parados de larga duración, mayores de 45 años y mujeres - logren acceder al mercado laboral.
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	Empleo
6	,
7	Juan
8	Chozas
9	,
10	dijo
11	que
12	hay
13	que
14	insistir
15	en
16	las
17	políticas
18	activas
19	de
20	empleo
21	para
22	conseguir
23	que
24	los
25	colectivos
26	con
27	más
28	problemas
29	-
30	parados
31	de
32	larga
33	duración
34	,
35	mayores
36	de
37	45
38	años
39	y
40	mujeres
41	-
42	logren
43	acceder
44	al
45	mercado
46	laboral
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	10	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	Empleo	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Juan	PROPN	2	appos
8	Chozas	PROPN	7	flat
9	,	PUNCT	7	punct
10	dijo	VERB	0	root
11	que	SCONJ	14	mark
12	hay	AUX	10	ccomp
13	que	SCONJ	14	cc
14	insistir	VERB	12	conj
15	en	ADP	17	case
16	las	DET	17	det
17	políticas	NOUN	14	obj
18	activas	ADJ	17	amod
19	de	ADP	20	case
20	empleo	NOUN	17	nmod
21	para	ADP	22	mark
22	conseguir	VERB	14	advcl
23	que	SCONJ	42	mark
24	los	DET	25	det
25	colectivos	NOUN	42	nsubj
26	con	ADP	28	case
27	más	ADV	28	advmod
28	problemas	NOUN	25	nmod
29	-	PUNCT	30	punct
30	parados	NOUN	25	appos
31	de	ADP	33	case
32	larga	ADJ	33	amod
33	duración	NOUN	30	nmod
34	,	PUNCT	35	punct
35	mayores	ADJ	30	conj
36	de	ADP	38	case
37	45	NUM	38	nummod
38	años	NOUN	35	nmod
39	y	CCONJ	40	cc
40	mujeres	NOUN	30	conj
41	-	PUNCT	30	punct
42	logren	VERB	22	ccomp
43	acceder	VERB	42	xcomp
44	al	ADP	45	case
45	mercado	NOUN	43	obj
46	laboral	ADJ	45	amod
47	.	PUNCT	10	punct