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 Gobierno prevé que los próximos meses sean malos en materia de empleo, ya que espera que se incorporen al mercado laboral los nuevos licenciados en las universidades debido a que el año escolar acaba de terminar.
Postion	Tokenization
1	El
2	Gobierno
3	prevé
4	que
5	los
6	próximos
7	meses
8	sean
9	malos
10	en
11	materia
12	de
13	empleo
14	,
15	ya
16	que
17	espera
18	que
19	se
20	incorporen
21	al
22	mercado
23	laboral
24	los
25	nuevos
26	licenciados
27	en
28	las
29	universidades
30	debido
31	a
32	que
33	el
34	año
35	escolar
36	acaba
37	de
38	terminar
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	3	nsubj
3	prevé	VERB	0	root
4	que	SCONJ	9	mark
5	los	DET	7	det
6	próximos	ADJ	7	amod
7	meses	NOUN	9	nsubj
8	sean	AUX	9	cop
9	malos	ADJ	3	ccomp
10	en	ADP	13	case
11	materia	NOUN	10	fixed
12	de	ADP	10	fixed
13	empleo	NOUN	9	nmod
14	,	PUNCT	17	punct
15	ya	ADV	17	mark
16	que	SCONJ	15	fixed
17	espera	VERB	3	advcl
18	que	SCONJ	20	mark
19	se	PRON	20	expl:pv
20	incorporen	VERB	17	ccomp
21	al	ADP	22	case
22	mercado	NOUN	20	obj
23	laboral	ADJ	22	amod
24	los	DET	26	det
25	nuevos	ADJ	26	amod
26	licenciados	NOUN	20	nsubj
27	en	ADP	29	case
28	las	DET	29	det
29	universidades	NOUN	26	nmod
30	debido	ADJ	36	mark
31	a	ADP	30	fixed
32	que	SCONJ	36	mark
33	el	DET	34	det
34	año	NOUN	36	nsubj
35	escolar	ADJ	34	amod
36	acaba	VERB	17	advcl
37	de	ADP	38	mark
38	terminar	VERB	36	xcomp
39	.	PUNCT	3	punct