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:
En el caso del cañón a propulsión, el proceso es mucho más sencillo, ya que se puede montar sobre un vehículo todo terreno y transportarlo a cualquier lugar.
Postion	Tokenization
1	En
2	el
3	caso
4	del
5	cañón
6	a
7	propulsión
8	,
9	el
10	proceso
11	es
12	mucho
13	más
14	sencillo
15	,
16	ya
17	que
18	se
19	puede
20	montar
21	sobre
22	un
23	vehículo
24	todo
25	terreno
26	y
27	transportarlo
28	transportar
29	lo
30	a
31	cualquier
32	lugar
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	caso	NOUN	14	obl
4	del	ADP	5	case
5	cañón	NOUN	3	nmod
6	a	ADP	7	case
7	propulsión	NOUN	5	nmod
8	,	PUNCT	3	punct
9	el	DET	10	det
10	proceso	NOUN	14	nsubj
11	es	AUX	14	cop
12	mucho	ADV	14	advmod
13	más	ADV	12	advmod
14	sencillo	ADJ	0	root
15	,	PUNCT	20	punct
16	ya	ADV	20	mark
17	que	SCONJ	16	fixed
18	se	PRON	20	expl:pass
19	puede	AUX	20	aux
20	montar	VERB	14	advcl
21	sobre	ADP	23	case
22	un	DET	23	det
23	vehículo	NOUN	20	obl
24	todo	DET	25	det
25	terreno	NOUN	23	appos
26	y	CCONJ	27	cc
27	transportarlo	_	None	_
28	transportar	VERB	20	conj
29	lo	PRON	27	obj
30	a	ADP	31	case
31	cualquier	DET	31	det
32	lugar	NOUN	27	obj
33	.	PUNCT	14	punct