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:
"Nosotros podemos ir a donde nos dé la gana, porque somos congresistas, colombianos y además el Caguán es una zona de distensión donde regularmente mucha gente va a hacer turismo, incluyendo al ministro de Interior", respondió el congresista Jaime Dussán Calderón.
Postion	Tokenization
1	"
2	Nosotros
3	podemos
4	ir
5	a
6	donde
7	nos
8	dé
9	la
10	gana
11	,
12	porque
13	somos
14	congresistas
15	,
16	colombianos
17	y
18	además
19	el
20	Caguán
21	es
22	una
23	zona
24	de
25	distensión
26	donde
27	regularmente
28	mucha
29	gente
30	va
31	a
32	hacer
33	turismo
34	,
35	incluyendo
36	al
37	ministro
38	de
39	Interior
40	"
41	,
42	respondió
43	el
44	congresista
45	Jaime
46	Dussán
47	Calderón
48	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Nosotros	PRON	4	nsubj
3	podemos	AUX	4	aux
4	ir	VERB	42	xcomp
5	a	ADP	8	obl
6	donde	PRON	5	compound
7	nos	PRON	8	iobj
8	dé	VERB	4	advcl
9	la	DET	10	det
10	gana	NOUN	8	compound
11	,	PUNCT	14	punct
12	porque	SCONJ	14	mark
13	somos	AUX	14	cop
14	congresistas	NOUN	8	advcl
15	,	PUNCT	16	punct
16	colombianos	NOUN	14	conj
17	y	CCONJ	23	cc
18	además	ADV	23	advmod
19	el	DET	20	det
20	Caguán	PROPN	23	nsubj
21	es	AUX	23	cop
22	una	DET	23	det
23	zona	NOUN	14	conj
24	de	ADP	25	case
25	distensión	NOUN	23	nmod
26	donde	PRON	32	obl
27	regularmente	ADV	32	advmod
28	mucha	DET	29	det
29	gente	NOUN	32	nsubj
30	va	AUX	32	aux
31	a	ADP	32	mark
32	hacer	VERB	23	acl
33	turismo	NOUN	32	obj
34	,	PUNCT	35	punct
35	incluyendo	VERB	32	advcl
36	al	ADP	37	case
37	ministro	NOUN	35	obj
38	de	ADP	39	case
39	Interior	PROPN	37	nmod
40	"	PUNCT	4	punct
41	,	PUNCT	4	punct
42	respondió	VERB	0	root
43	el	DET	44	det
44	congresista	NOUN	42	nsubj
45	Jaime	PROPN	44	appos
46	Dussán	PROPN	45	flat
47	Calderón	PROPN	45	flat
48	.	PUNCT	42	punct