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:
Yo es que no puedo: cuando veo que alguien invoca la conciencia o el honor me dan ganas de agarrar la escopeta y liarme a tiros.
Postion	Tokenization
1	Yo
2	es
3	que
4	no
5	puedo
6	:
7	cuando
8	veo
9	que
10	alguien
11	invoca
12	la
13	conciencia
14	o
15	el
16	honor
17	me
18	dan
19	ganas
20	de
21	agarrar
22	la
23	escopeta
24	y
25	liarme
26	liar
27	me
28	a
29	tiros
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Yo	PRON	2	nsubj
2	es	AUX	0	root
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	puedo	VERB	2	ccomp
6	:	PUNCT	18	punct
7	cuando	SCONJ	8	mark
8	veo	VERB	18	advcl
9	que	SCONJ	11	mark
10	alguien	PRON	11	nsubj
11	invoca	VERB	8	ccomp
12	la	DET	13	det
13	conciencia	NOUN	11	obj
14	o	CCONJ	16	cc
15	el	DET	16	det
16	honor	NOUN	13	conj
17	me	PRON	18	iobj
18	dan	VERB	2	advcl
19	ganas	NOUN	18	nsubj
20	de	ADP	21	mark
21	agarrar	VERB	19	acl
22	la	DET	23	det
23	escopeta	NOUN	21	obj
24	y	CCONJ	25	cc
25	liarme	_	None	_
26	liar	VERB	21	conj
27	me	PRON	25	expl:pv
28	a	ADP	28	case
29	tiros	NOUN	25	obl
30	.	PUNCT	2	punct