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 canal televisivo brasileño Globo producirá una telenovela en español para los mercados hispanos de EEUU y de los países latinoamericanos, informó hoy la prensa local.
Postion	Tokenization
1	El
2	canal
3	televisivo
4	brasileño
5	Globo
6	producirá
7	una
8	telenovela
9	en
10	español
11	para
12	los
13	mercados
14	hispanos
15	de
16	EEUU
17	y
18	de
19	los
20	países
21	latinoamericanos
22	,
23	informó
24	hoy
25	la
26	prensa
27	local
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	canal	NOUN	6	nsubj
3	televisivo	ADJ	2	amod
4	brasileño	ADJ	2	amod
5	Globo	PROPN	2	appos
6	producirá	VERB	23	ccomp
7	una	DET	8	det
8	telenovela	NOUN	6	obj
9	en	ADP	10	case
10	español	NOUN	8	nmod
11	para	ADP	13	case
12	los	DET	13	det
13	mercados	NOUN	8	nmod
14	hispanos	ADJ	13	amod
15	de	ADP	16	case
16	EEUU	PROPN	13	nmod
17	y	CCONJ	20	cc
18	de	ADP	20	case
19	los	DET	20	det
20	países	NOUN	16	conj
21	latinoamericanos	ADJ	20	amod
22	,	PUNCT	6	punct
23	informó	VERB	0	root
24	hoy	ADV	23	advmod
25	la	DET	26	det
26	prensa	NOUN	23	nsubj
27	local	ADJ	26	amod
28	.	PUNCT	23	punct