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:
Allí abrió el tubo de pasta con ansiedad, impregnó el cepillo con una cantidad excesiva de aquella blanda pomada rosácea y se entregó a la limpieza de sus dientes con una decisión insólita.
Postion	Tokenization
1	Allí
2	abrió
3	el
4	tubo
5	de
6	pasta
7	con
8	ansiedad
9	,
10	impregnó
11	el
12	cepillo
13	con
14	una
15	cantidad
16	excesiva
17	de
18	aquella
19	blanda
20	pomada
21	rosácea
22	y
23	se
24	entregó
25	a
26	la
27	limpieza
28	de
29	sus
30	dientes
31	con
32	una
33	decisión
34	insólita
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Allí	ADV	2	advmod
2	abrió	VERB	0	root
3	el	DET	4	det
4	tubo	NOUN	2	obj
5	de	ADP	6	case
6	pasta	NOUN	4	nmod
7	con	ADP	8	case
8	ansiedad	NOUN	2	obl
9	,	PUNCT	10	punct
10	impregnó	VERB	2	advcl
11	el	DET	12	det
12	cepillo	NOUN	10	obj
13	con	ADP	15	case
14	una	DET	15	det
15	cantidad	NOUN	10	obl
16	excesiva	ADJ	15	amod
17	de	ADP	20	case
18	aquella	DET	20	det
19	blanda	ADJ	20	amod
20	pomada	NOUN	15	nmod
21	rosácea	ADJ	20	amod
22	y	CCONJ	24	cc
23	se	PRON	24	expl:pv
24	entregó	VERB	2	conj
25	a	ADP	27	case
26	la	DET	27	det
27	limpieza	NOUN	24	obl
28	de	ADP	30	case
29	sus	DET	30	det
30	dientes	NOUN	27	nmod
31	con	ADP	33	case
32	una	DET	33	det
33	decisión	NOUN	24	obl
34	insólita	ADJ	33	amod
35	.	PUNCT	2	punct