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:
The promotion by the pro-Zionist right of twin occupations - in the West Bank and in Iraq - has profoundly weakened, not strengthened, Israeli security.
Postion	Tokenization
1	The
2	promotion
3	by
4	the
5	pro-Zionist
6	right
7	of
8	twin
9	occupations
10	-
11	in
12	the
13	West
14	Bank
15	and
16	in
17	Iraq
18	-
19	has
20	profoundly
21	weakened
22	,
23	not
24	strengthened
25	,
26	Israeli
27	security
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	promotion	NOUN	21	nsubj
3	by	ADP	6	case
4	the	DET	6	det
5	pro-Zionist	ADJ	6	amod
6	right	NOUN	2	nmod
7	of	ADP	9	case
8	twin	NOUN	9	compound
9	occupations	NOUN	2	nmod
10	-	PUNCT	9	punct
11	in	ADP	14	case
12	the	DET	14	det
13	West	PROPN	14	compound
14	Bank	PROPN	9	nmod
15	and	CCONJ	17	cc
16	in	ADP	17	case
17	Iraq	PROPN	14	conj
18	-	PUNCT	21	punct
19	has	AUX	21	aux
20	profoundly	ADV	21	advmod
21	weakened	VERB	0	root
22	,	PUNCT	21	punct
23	not	PART	24	advmod
24	strengthened	VERB	21	parataxis
25	,	PUNCT	21	punct
26	Israeli	ADJ	27	amod
27	security	NOUN	21	obj
28	.	PUNCT	21	punct