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:
Volviendo a los motores de explosión, se intentó primero usar el gas (Samuel Brown en 1823) y luego los líquidos volátiles como la bencina (William Barnett, 1838).
Postion	Tokenization
1	Volviendo
2	a
3	los
4	motores
5	de
6	explosión
7	,
8	se
9	intentó
10	primero
11	usar
12	el
13	gas
14	(
15	Samuel
16	Brown
17	en
18	1823
19	)
20	y
21	luego
22	los
23	líquidos
24	volátiles
25	como
26	la
27	bencina
28	(
29	William
30	Barnett
31	,
32	1838
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Volviendo	VERB	9	advcl
2	a	ADP	4	case
3	los	DET	4	det
4	motores	NOUN	1	obl
5	de	ADP	6	case
6	explosión	NOUN	4	nmod
7	,	PUNCT	1	punct
8	se	PRON	9	expl:pass
9	intentó	VERB	0	root
10	primero	ADV	11	advmod
11	usar	VERB	9	csubj
12	el	DET	13	det
13	gas	NOUN	11	obj
14	(	PUNCT	15	punct
15	Samuel	PROPN	11	dep
16	Brown	PROPN	15	flat
17	en	ADP	18	case
18	1823	NOUN	15	nmod
19	)	PUNCT	15	punct
20	y	CCONJ	23	cc
21	luego	ADV	23	advmod
22	los	DET	23	det
23	líquidos	NOUN	11	conj
24	volátiles	ADJ	23	amod
25	como	SCONJ	27	mark
26	la	DET	27	det
27	bencina	NOUN	23	nmod
28	(	PUNCT	29	punct
29	William	PROPN	23	dep
30	Barnett	PROPN	29	flat
31	,	PUNCT	32	punct
32	1838	NOUN	29	appos
33	)	PUNCT	29	punct
34	.	PUNCT	9	punct