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:
Once the troops started cleaning the weapon properly (even with the dirtier powder) the Vietnam era M-16 turned out to be a good weapon for the purpose it was being used for.
Postion	Tokenization
1	Once
2	the
3	troops
4	started
5	cleaning
6	the
7	weapon
8	properly
9	(
10	even
11	with
12	the
13	dirtier
14	powder
15	)
16	the
17	Vietnam
18	era
19	M
20	-
21	16
22	turned
23	out
24	to
25	be
26	a
27	good
28	weapon
29	for
30	the
31	purpose
32	it
33	was
34	being
35	used
36	for
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Once	SCONJ	4	mark
2	the	DET	3	det
3	troops	NOUN	4	nsubj
4	started	VERB	22	advcl
5	cleaning	VERB	4	xcomp
6	the	DET	7	det
7	weapon	NOUN	5	obj
8	properly	ADV	5	advmod
9	(	PUNCT	14	punct
10	even	ADV	14	advmod
11	with	ADP	14	case
12	the	DET	14	det
13	dirtier	ADJ	14	amod
14	powder	NOUN	5	obl
15	)	PUNCT	14	punct
16	the	DET	19	det
17	Vietnam	PROPN	18	compound
18	era	PROPN	19	compound
19	M	NOUN	22	nsubj
20	-	PUNCT	19	punct
21	16	NUM	19	nummod
22	turned	VERB	0	root
23	out	ADP	22	compound:prt
24	to	PART	28	mark
25	be	AUX	28	cop
26	a	DET	28	det
27	good	ADJ	28	amod
28	weapon	NOUN	22	xcomp
29	for	ADP	31	case
30	the	DET	31	det
31	purpose	NOUN	28	nmod
32	it	PRON	35	nsubj:pass
33	was	AUX	35	aux
34	being	AUX	35	aux:pass
35	used	VERB	31	acl:relcl
36	for	ADP	35	obl
37	.	PUNCT	22	punct