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:
Pero el registro de Grass no se demora en una perspectiva de intérprete privilegiado de lo que pasa, sino que configura una visión a ras de tierra.
Postion	Tokenization
1	Pero
2	el
3	registro
4	de
5	Grass
6	no
7	se
8	demora
9	en
10	una
11	perspectiva
12	de
13	intérprete
14	privilegiado
15	de
16	lo
17	que
18	pasa
19	,
20	sino
21	que
22	configura
23	una
24	visión
25	a
26	ras
27	de
28	tierra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	8	advmod
2	el	DET	3	det
3	registro	NOUN	8	nsubj
4	de	ADP	5	case
5	Grass	PROPN	3	nmod
6	no	ADV	8	advmod
7	se	PRON	8	expl:pv
8	demora	VERB	20	parataxis
9	en	ADP	11	case
10	una	DET	11	det
11	perspectiva	NOUN	8	obj
12	de	ADP	13	case
13	intérprete	NOUN	11	nmod
14	privilegiado	ADJ	13	amod
15	de	ADP	18	mark
16	lo	PRON	18	det
17	que	PRON	18	nsubj
18	pasa	VERB	13	acl
19	,	PUNCT	20	punct
20	sino	CCONJ	0	root
21	que	SCONJ	20	fixed
22	configura	VERB	20	parataxis
23	una	DET	24	det
24	visión	NOUN	22	obj
25	a	ADP	24	advmod
26	ras	NOUN	25	fixed
27	de	ADP	25	fixed
28	tierra	NOUN	25	fixed
29	.	PUNCT	20	punct