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 was playing a video game that has a m16 Vietnam model, and in the game it's 3-shot burst.
Postion	Tokenization
1	I
2	was
3	playing
4	a
5	video
6	game
7	that
8	has
9	a
10	m
11	16
12	Vietnam
13	model
14	,
15	and
16	in
17	the
18	game
19	it's
20	it
21	's
22	3
23	-
24	shot
25	burst
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	playing	VERB	0	root
4	a	DET	6	det
5	video	NOUN	6	compound
6	game	NOUN	3	obj
7	that	PRON	8	nsubj
8	has	VERB	6	acl:relcl
9	a	DET	13	det
10	m	NOUN	13	compound
11	16	NUM	10	nummod
12	Vietnam	PROPN	13	compound
13	model	NOUN	8	obj
14	,	PUNCT	24	punct
15	and	CCONJ	24	cc
16	in	ADP	18	case
17	the	DET	18	det
18	game	NOUN	24	obl
19	it's	_	None	_
20	it	PRON	24	nsubj
21	's	AUX	24	cop
22	3	NUM	23	nummod
23	-	PUNCT	23	punct
24	shot	NOUN	24	compound
25	burst	NOUN	3	conj
26	.	PUNCT	3	punct