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:
Izrael vyvíjí zvyšující se politický, vojenský a hospodářský nátlak na Libanon, aby ho oddělil od Sýrie v blízkovýchodním mírovém procesu, ale jeho pokusy nebudou úspěšné.
Postion	Tokenization
1	Izrael
2	vyvíjí
3	zvyšující
4	se
5	politický
6	,
7	vojenský
8	a
9	hospodářský
10	nátlak
11	na
12	Libanon
13	,
14	aby
15	aby
16	by
17	ho
18	oddělil
19	od
20	Sýrie
21	v
22	blízkovýchodním
23	mírovém
24	procesu
25	,
26	ale
27	jeho
28	pokusy
29	nebudou
30	úspěšné
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Izrael	PROPN	2	nsubj
2	vyvíjí	VERB	0	root
3	zvyšující	ADJ	10	amod
4	se	PRON	3	expl:pv
5	politický	ADJ	10	amod
6	,	PUNCT	7	punct
7	vojenský	ADJ	5	conj
8	a	CCONJ	9	cc
9	hospodářský	ADJ	5	conj
10	nátlak	NOUN	2	obj
11	na	ADP	12	case
12	Libanon	PROPN	10	nmod
13	,	PUNCT	17	punct
14	aby	_	None	_
15	aby	SCONJ	17	mark
16	by	AUX	17	aux
17	ho	PRON	17	obj
18	oddělil	VERB	2	advcl
19	od	ADP	19	case
20	Sýrie	PROPN	17	obl:arg
21	v	ADP	23	case
22	blízkovýchodním	ADJ	23	amod
23	mírovém	ADJ	23	amod
24	procesu	NOUN	17	obl
25	,	PUNCT	29	punct
26	ale	CCONJ	29	cc
27	jeho	DET	27	det
28	pokusy	NOUN	29	nsubj
29	nebudou	AUX	29	cop
30	úspěšné	ADJ	2	conj
31	.	PUNCT	2	punct