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:
Israel, however, is much closer to Iraq and is likely to suffer from Iraqi instability much more acutely than will the United States.
Postion	Tokenization
1	Israel
2	,
3	however
4	,
5	is
6	much
7	closer
8	to
9	Iraq
10	and
11	is
12	likely
13	to
14	suffer
15	from
16	Iraqi
17	instability
18	much
19	more
20	acutely
21	than
22	will
23	the
24	United
25	States
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Israel	PROPN	7	nsubj
2	,	PUNCT	7	punct
3	however	ADV	7	advmod
4	,	PUNCT	7	punct
5	is	AUX	7	cop
6	much	ADV	7	advmod
7	closer	ADJ	0	root
8	to	ADP	9	case
9	Iraq	PROPN	7	obl
10	and	CCONJ	12	cc
11	is	AUX	12	cop
12	likely	ADJ	7	conj
13	to	PART	14	mark
14	suffer	VERB	12	xcomp
15	from	ADP	17	case
16	Iraqi	ADJ	17	amod
17	instability	NOUN	14	obl
18	much	ADV	19	advmod
19	more	ADV	14	advmod
20	acutely	ADV	19	advmod
21	than	SCONJ	22	mark
22	will	AUX	20	advcl
23	the	DET	25	det
24	United	PROPN	25	compound
25	States	PROPN	22	nsubj
26	.	PUNCT	7	punct