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:
40,000 - Number of soldiers in Iraq seven months after start of the war still without Interceptor vests, designed to stop a round from an AK-47.
Postion	Tokenization
1	40,000
2	-
3	Number
4	of
5	soldiers
6	in
7	Iraq
8	seven
9	months
10	after
11	start
12	of
13	the
14	war
15	still
16	without
17	Interceptor
18	vests
19	,
20	designed
21	to
22	stop
23	a
24	round
25	from
26	an
27	AK
28	-
29	47
30	.
Position	Tokenization	UPOS	Head	Deprel
1	40,000	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	5	case
5	soldiers	NOUN	3	nmod
6	in	ADP	7	case
7	Iraq	PROPN	5	nmod
8	seven	NUM	9	nummod
9	months	NOUN	11	nmod:npmod
10	after	ADP	11	case
11	start	NOUN	5	nmod
12	of	ADP	14	case
13	the	DET	14	det
14	war	NOUN	11	nmod
15	still	ADV	18	advmod
16	without	ADP	18	case
17	Interceptor	PROPN	18	compound
18	vests	NOUN	5	nmod
19	,	PUNCT	18	punct
20	designed	VERB	18	acl
21	to	PART	22	mark
22	stop	VERB	20	advcl
23	a	DET	24	det
24	round	NOUN	22	obj
25	from	ADP	27	case
26	an	DET	27	det
27	AK	PROPN	24	nmod
28	-	PUNCT	27	punct
29	47	NUM	27	nummod
30	.	PUNCT	1	punct