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:
Any thorough assessment of the impact of the Iraq war and its aftermath on Israel's security environment must, therefore, closely examine its likely effect on the conduct of asymmetrical warfare.
Postion	Tokenization
1	Any
2	thorough
3	assessment
4	of
5	the
6	impact
7	of
8	the
9	Iraq
10	war
11	and
12	its
13	aftermath
14	on
15	Israel's
16	Israel
17	's
18	security
19	environment
20	must
21	,
22	therefore
23	,
24	closely
25	examine
26	its
27	likely
28	effect
29	on
30	the
31	conduct
32	of
33	asymmetrical
34	warfare
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Any	DET	3	det
2	thorough	ADJ	3	amod
3	assessment	NOUN	24	nsubj
4	of	ADP	6	case
5	the	DET	6	det
6	impact	NOUN	3	nmod
7	of	ADP	10	case
8	the	DET	10	det
9	Iraq	PROPN	10	compound
10	war	NOUN	6	nmod
11	and	CCONJ	13	cc
12	its	PRON	13	nmod:poss
13	aftermath	NOUN	6	conj
14	on	ADP	18	case
15	Israel's	_	None	_
16	Israel	PROPN	18	nmod:poss
17	's	PART	15	case
18	security	NOUN	18	compound
19	environment	NOUN	13	nmod
20	must	AUX	24	aux
21	,	PUNCT	24	punct
22	therefore	ADV	24	advmod
23	,	PUNCT	24	punct
24	closely	ADV	24	advmod
25	examine	VERB	0	root
26	its	PRON	27	nmod:poss
27	likely	ADJ	27	amod
28	effect	NOUN	24	obj
29	on	ADP	30	case
30	the	DET	30	det
31	conduct	NOUN	27	nmod
32	of	ADP	33	case
33	asymmetrical	ADJ	33	amod
34	warfare	NOUN	30	nmod
35	.	PUNCT	24	punct