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:
Concretamente en la nuca, en el área del cerebro donde se procesan las señales visuales que llegan de los ojos, el córtex visual.
Postion	Tokenization
1	Concretamente
2	en
3	la
4	nuca
5	,
6	en
7	el
8	área
9	del
10	cerebro
11	donde
12	se
13	procesan
14	las
15	señales
16	visuales
17	que
18	llegan
19	de
20	los
21	ojos
22	,
23	el
24	córtex
25	visual
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Concretamente	ADV	0	root
2	en	ADP	1	case
3	la	DET	4	det
4	nuca	NOUN	1	nmod
5	,	PUNCT	8	punct
6	en	ADP	8	case
7	el	DET	8	det
8	área	NOUN	1	conj
9	del	ADP	10	case
10	cerebro	NOUN	8	nmod
11	donde	PRON	13	obl
12	se	PRON	13	expl:pass
13	procesan	VERB	8	acl
14	las	DET	15	det
15	señales	NOUN	13	nsubj
16	visuales	ADJ	15	amod
17	que	PRON	18	nsubj
18	llegan	VERB	15	acl
19	de	ADP	21	case
20	los	DET	21	det
21	ojos	NOUN	18	obl
22	,	PUNCT	24	punct
23	el	DET	24	det
24	córtex	NOUN	8	appos
25	visual	ADJ	24	amod
26	.	PUNCT	1	punct