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:
I guess those guns will be located enroute to Venezuela or found in storage there by one of the US's local stooges and they then have a pretext to ramp the spin up a notch or two.
Postion	Tokenization
1	I
2	guess
3	those
4	guns
5	will
6	be
7	located
8	enroute
9	to
10	Venezuela
11	or
12	found
13	in
14	storage
15	there
16	by
17	one
18	of
19	the
20	US's
21	US
22	's
23	local
24	stooges
25	and
26	they
27	then
28	have
29	a
30	pretext
31	to
32	ramp
33	the
34	spin
35	up
36	a
37	notch
38	or
39	two
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	those	DET	4	det
4	guns	NOUN	7	nsubj:pass
5	will	AUX	7	aux
6	be	AUX	7	aux:pass
7	located	VERB	2	ccomp
8	enroute	ADV	7	advmod
9	to	ADP	10	case
10	Venezuela	PROPN	8	obl
11	or	CCONJ	12	cc
12	found	VERB	7	conj
13	in	ADP	14	case
14	storage	NOUN	12	obl
15	there	ADV	12	advmod
16	by	ADP	17	case
17	one	NUM	12	obl
18	of	ADP	23	case
19	the	DET	20	det
20	US's	_	None	_
21	US	PROPN	23	nmod:poss
22	's	PART	20	case
23	local	ADJ	23	amod
24	stooges	NOUN	17	nmod
25	and	CCONJ	27	cc
26	they	PRON	27	nsubj
27	then	ADV	27	advmod
28	have	VERB	7	conj
29	a	DET	29	det
30	pretext	NOUN	27	obj
31	to	PART	31	mark
32	ramp	VERB	29	acl
33	the	DET	33	det
34	spin	NOUN	31	obj
35	up	ADP	31	compound:prt
36	a	DET	36	det
37	notch	NOUN	31	obl:npmod
38	or	CCONJ	38	cc
39	two	NUM	36	nummod
40	.	PUNCT	2	punct