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:
Chaim Assa, izraelský odborník pro strategické analýzy předpovídá, že bývalí sovětští odborníci zřejmě dorazí i na Blízký východ, zejména do Íránu, Iráku a Libye.
Postion	Tokenization
1	Chaim
2	Assa
3	,
4	izraelský
5	odborník
6	pro
7	strategické
8	analýzy
9	předpovídá
10	,
11	že
12	bývalí
13	sovětští
14	odborníci
15	zřejmě
16	dorazí
17	i
18	na
19	Blízký
20	východ
21	,
22	zejména
23	do
24	Íránu
25	,
26	Iráku
27	a
28	Libye
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Chaim	PROPN	9	nsubj
2	Assa	PROPN	1	flat
3	,	PUNCT	5	punct
4	izraelský	ADJ	5	amod
5	odborník	NOUN	1	appos
6	pro	ADP	8	case
7	strategické	ADJ	8	amod
8	analýzy	NOUN	5	nmod
9	předpovídá	VERB	0	root
10	,	PUNCT	16	punct
11	že	SCONJ	16	mark
12	bývalí	ADJ	14	amod
13	sovětští	ADJ	14	amod
14	odborníci	NOUN	16	nsubj
15	zřejmě	ADV	16	advmod
16	dorazí	VERB	9	ccomp
17	i	CCONJ	20	advmod:emph
18	na	ADP	20	case
19	Blízký	ADJ	20	amod
20	východ	NOUN	16	obl
21	,	PUNCT	24	punct
22	zejména	ADV	24	advmod:emph
23	do	ADP	24	case
24	Íránu	PROPN	20	obl
25	,	PUNCT	26	punct
26	Iráku	PROPN	24	conj
27	a	CCONJ	28	cc
28	Libye	PROPN	24	conj
29	.	PUNCT	9	punct