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:
The fact that the US government and media are having a hissy fit over Venezuela wanting to buy guns, and then 200,000 of the guns Chavez wants to buy go missing on their way to Iraq is definitely sus.
Postion	Tokenization
1	The
2	fact
3	that
4	the
5	US
6	government
7	and
8	media
9	are
10	having
11	a
12	hissy
13	fit
14	over
15	Venezuela
16	wanting
17	to
18	buy
19	guns
20	,
21	and
22	then
23	200,000
24	of
25	the
26	guns
27	Chavez
28	wants
29	to
30	buy
31	go
32	missing
33	on
34	their
35	way
36	to
37	Iraq
38	is
39	definitely
40	sus
41	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	fact	NOUN	40	nsubj
3	that	SCONJ	10	mark
4	the	DET	6	det
5	US	PROPN	6	compound
6	government	NOUN	10	nsubj
7	and	CCONJ	8	cc
8	media	NOUN	6	conj
9	are	AUX	10	aux
10	having	VERB	2	acl
11	a	DET	13	det
12	hissy	NOUN	13	compound
13	fit	NOUN	10	obj
14	over	SCONJ	16	mark
15	Venezuela	PROPN	16	nsubj
16	wanting	VERB	10	advcl
17	to	PART	18	mark
18	buy	VERB	16	xcomp
19	guns	NOUN	18	obj
20	,	PUNCT	31	punct
21	and	CCONJ	31	cc
22	then	ADV	31	advmod
23	200,000	NUM	31	nsubj
24	of	ADP	26	case
25	the	DET	26	det
26	guns	NOUN	23	nmod
27	Chavez	PROPN	28	nsubj
28	wants	VERB	26	acl:relcl
29	to	PART	30	mark
30	buy	VERB	28	xcomp
31	go	VERB	10	conj
32	missing	ADJ	31	xcomp
33	on	ADP	35	case
34	their	PRON	35	nmod:poss
35	way	NOUN	31	obl
36	to	ADP	37	case
37	Iraq	PROPN	35	nmod
38	is	AUX	40	cop
39	definitely	ADV	40	advmod
40	sus	ADJ	0	root
41	.	PUNCT	40	punct