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:
Le adormiló el vaivén del coche poderoso y bien cuidado, una herramienta al servicio de un oficio que el chófer quería elevar a la condición de guía exaltando las gracias de Trinidad.
Postion	Tokenization
1	Le
2	adormiló
3	el
4	vaivén
5	del
6	coche
7	poderoso
8	y
9	bien
10	cuidado
11	,
12	una
13	herramienta
14	al
15	servicio
16	de
17	un
18	oficio
19	que
20	el
21	chófer
22	quería
23	elevar
24	a
25	la
26	condición
27	de
28	guía
29	exaltando
30	las
31	gracias
32	de
33	Trinidad
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	PRON	2	obj
2	adormiló	VERB	0	root
3	el	DET	4	det
4	vaivén	NOUN	2	nsubj
5	del	ADP	6	case
6	coche	NOUN	4	nmod
7	poderoso	ADJ	6	amod
8	y	CCONJ	10	cc
9	bien	ADV	10	advmod
10	cuidado	ADJ	7	conj
11	,	PUNCT	13	punct
12	una	DET	13	det
13	herramienta	NOUN	6	appos
14	al	ADP	15	case
15	servicio	NOUN	13	nmod
16	de	ADP	18	case
17	un	DET	18	det
18	oficio	NOUN	15	nmod
19	que	PRON	22	iobj
20	el	DET	21	det
21	chófer	NOUN	22	nsubj
22	quería	VERB	18	acl
23	elevar	VERB	22	ccomp
24	a	ADP	26	case
25	la	DET	26	det
26	condición	NOUN	23	obl
27	de	ADP	28	case
28	guía	NOUN	26	nmod
29	exaltando	VERB	23	xcomp
30	las	DET	31	det
31	gracias	NOUN	29	obj
32	de	ADP	33	case
33	Trinidad	PROPN	31	nmod
34	.	PUNCT	2	punct