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:
A las empresas audiovisuales, el CAC recomienda que se encargue la cobertura a profesionales especializados y que antes de caer en la información rutinaria o superflua se recurra a especialistas.
Postion	Tokenization
1	A
2	las
3	empresas
4	audiovisuales
5	,
6	el
7	CAC
8	recomienda
9	que
10	se
11	encargue
12	la
13	cobertura
14	a
15	profesionales
16	especializados
17	y
18	que
19	antes
20	de
21	caer
22	en
23	la
24	información
25	rutinaria
26	o
27	superflua
28	se
29	recurra
30	a
31	especialistas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	las	DET	3	det
3	empresas	NOUN	8	iobj
4	audiovisuales	ADJ	3	amod
5	,	PUNCT	3	punct
6	el	DET	7	det
7	CAC	PROPN	8	nsubj
8	recomienda	VERB	0	root
9	que	SCONJ	11	mark
10	se	PRON	11	expl:pv
11	encargue	VERB	8	ccomp
12	la	DET	13	det
13	cobertura	NOUN	11	nsubj
14	a	ADP	15	case
15	profesionales	NOUN	11	obj
16	especializados	ADJ	15	amod
17	y	CCONJ	29	cc
18	que	SCONJ	29	mark
19	antes	ADV	29	advmod
20	de	ADP	21	mark
21	caer	VERB	19	advcl
22	en	ADP	24	case
23	la	DET	24	det
24	información	NOUN	21	obl
25	rutinaria	ADJ	24	amod
26	o	CCONJ	27	cc
27	superflua	ADJ	25	conj
28	se	PRON	29	expl:impers
29	recurra	VERB	11	conj
30	a	ADP	31	case
31	especialistas	NOUN	29	obj
32	.	PUNCT	8	punct