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 ella era de natural metódico y sólo se dormía, con asombrosa precisión, de doce de la noche a siete en punto de la mañana.
Postion	Tokenization
1	Pero
2	ella
3	era
4	de
5	natural
6	metódico
7	y
8	sólo
9	se
10	dormía
11	,
12	con
13	asombrosa
14	precisión
15	,
16	de
17	doce
18	de
19	la
20	noche
21	a
22	siete
23	en
24	punto
25	de
26	la
27	mañana
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	5	advmod
2	ella	PRON	5	nsubj
3	era	AUX	5	cop
4	de	ADP	5	case
5	natural	NOUN	0	root
6	metódico	ADJ	5	amod
7	y	CCONJ	10	cc
8	sólo	ADV	10	advmod
9	se	PRON	10	expl:pv
10	dormía	VERB	5	conj
11	,	PUNCT	14	punct
12	con	ADP	14	case
13	asombrosa	ADJ	14	amod
14	precisión	NOUN	10	obl
15	,	PUNCT	14	punct
16	de	ADP	17	case
17	doce	NUM	10	obl
18	de	ADP	20	case
19	la	DET	20	det
20	noche	NOUN	17	compound
21	a	ADP	22	case
22	siete	NUM	10	obl
23	en	ADP	24	case
24	punto	NOUN	22	compound
25	de	ADP	27	case
26	la	DET	27	det
27	mañana	NOUN	22	compound
28	.	PUNCT	5	punct