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:
"They are targetting ambulances", "American snipers are shooting children and pregnant women", and "They are using cluster bombs against civilians" is all you get to hear from him.
Postion	Tokenization
1	"
2	They
3	are
4	targetting
5	ambulances
6	"
7	,
8	"
9	American
10	snipers
11	are
12	shooting
13	children
14	and
15	pregnant
16	women
17	"
18	,
19	and
20	"
21	They
22	are
23	using
24	cluster
25	bombs
26	against
27	civilians
28	"
29	is
30	all
31	you
32	get
33	to
34	hear
35	from
36	him
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	They	PRON	4	csubj
3	are	AUX	4	aux
4	targetting	VERB	30	nsubj
5	ambulances	NOUN	4	obj
6	"	PUNCT	4	punct
7	,	PUNCT	12	punct
8	"	PUNCT	12	punct
9	American	ADJ	10	amod
10	snipers	NOUN	12	nsubj
11	are	AUX	12	aux
12	shooting	VERB	4	conj
13	children	NOUN	12	obj
14	and	CCONJ	16	cc
15	pregnant	ADJ	16	amod
16	women	NOUN	13	conj
17	"	PUNCT	12	punct
18	,	PUNCT	23	punct
19	and	CCONJ	23	cc
20	"	PUNCT	23	punct
21	They	PRON	23	nsubj
22	are	AUX	23	aux
23	using	VERB	4	conj
24	cluster	NOUN	25	compound
25	bombs	NOUN	23	obj
26	against	ADP	27	case
27	civilians	NOUN	23	obl
28	"	PUNCT	23	punct
29	is	AUX	30	cop
30	all	DET	0	root
31	you	PRON	32	nsubj
32	get	VERB	30	acl:relcl
33	to	PART	34	mark
34	hear	VERB	32	xcomp
35	from	ADP	36	case
36	him	PRON	34	obl
37	.	PUNCT	30	punct