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:
Los estudiantes y los empleados estatales han anunciado que hoy Jueves, segunda jornada de protestas, efectuarán movilizaciones en todo el país, con el cierre de carreteras y marchas en las principales ciudades.
Postion	Tokenization
1	Los
2	estudiantes
3	y
4	los
5	empleados
6	estatales
7	han
8	anunciado
9	que
10	hoy
11	Jueves
12	,
13	segunda
14	jornada
15	de
16	protestas
17	,
18	efectuarán
19	movilizaciones
20	en
21	todo
22	el
23	país
24	,
25	con
26	el
27	cierre
28	de
29	carreteras
30	y
31	marchas
32	en
33	las
34	principales
35	ciudades
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	estudiantes	NOUN	8	nsubj
3	y	CCONJ	5	cc
4	los	DET	5	det
5	empleados	NOUN	2	conj
6	estatales	ADJ	5	amod
7	han	AUX	8	aux
8	anunciado	VERB	0	root
9	que	SCONJ	18	mark
10	hoy	ADV	18	advmod
11	Jueves	NOUN	10	obl
12	,	PUNCT	14	punct
13	segunda	ADJ	14	amod
14	jornada	NOUN	10	obl
15	de	ADP	16	case
16	protestas	NOUN	14	nmod
17	,	PUNCT	14	punct
18	efectuarán	VERB	8	ccomp
19	movilizaciones	NOUN	18	obj
20	en	ADP	23	case
21	todo	DET	22	det
22	el	DET	23	det
23	país	NOUN	19	nmod
24	,	PUNCT	27	punct
25	con	ADP	27	case
26	el	DET	27	det
27	cierre	NOUN	19	nmod
28	de	ADP	29	case
29	carreteras	NOUN	27	nmod
30	y	CCONJ	31	cc
31	marchas	NOUN	27	conj
32	en	ADP	35	case
33	las	DET	35	det
34	principales	ADJ	35	amod
35	ciudades	NOUN	31	nmod
36	.	PUNCT	8	punct