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:
En la ciudad de Cacak no funcionan todas las empresas públicas, Correos, escuelas, instituciones de cultura y médicas, y más de un centenar de camiones se han instalado hoy en los accesos importantes para bloquear el tráfico.
Postion	Tokenization
1	En
2	la
3	ciudad
4	de
5	Cacak
6	no
7	funcionan
8	todas
9	las
10	empresas
11	públicas
12	,
13	Correos
14	,
15	escuelas
16	,
17	instituciones
18	de
19	cultura
20	y
21	médicas
22	,
23	y
24	más
25	de
26	un
27	centenar
28	de
29	camiones
30	se
31	han
32	instalado
33	hoy
34	en
35	los
36	accesos
37	importantes
38	para
39	bloquear
40	el
41	tráfico
42	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	ciudad	NOUN	7	obl
4	de	ADP	5	case
5	Cacak	PROPN	3	nmod
6	no	ADV	7	advmod
7	funcionan	VERB	0	root
8	todas	DET	9	det
9	las	DET	10	det
10	empresas	NOUN	7	nsubj
11	públicas	ADJ	10	amod
12	,	PUNCT	7	punct
13	Correos	PROPN	32	nsubj
14	,	PUNCT	15	punct
15	escuelas	NOUN	13	appos
16	,	PUNCT	17	punct
17	instituciones	NOUN	13	appos
18	de	ADP	19	case
19	cultura	NOUN	17	nmod
20	y	CCONJ	21	cc
21	médicas	ADJ	19	conj
22	,	PUNCT	17	punct
23	y	CCONJ	27	cc
24	más	ADV	26	advmod
25	de	ADP	26	case
26	un	DET	27	det
27	centenar	NOUN	13	conj
28	de	ADP	29	case
29	camiones	NOUN	27	nmod
30	se	PRON	32	expl:pv
31	han	AUX	32	aux
32	instalado	VERB	7	advcl
33	hoy	ADV	32	advmod
34	en	ADP	36	case
35	los	DET	36	det
36	accesos	NOUN	32	obl
37	importantes	ADJ	36	amod
38	para	ADP	39	mark
39	bloquear	VERB	32	advcl
40	el	DET	41	det
41	tráfico	NOUN	39	obj
42	.	PUNCT	7	punct