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:
Chanan Rozen s primátorem projednal také připravovanou smlouvu o spolupráci mezi Ostravou a izraelským městem Rechovot, kde je jeden z největších vědeckých ústavů na světě.
Postion	Tokenization
1	Chanan
2	Rozen
3	s
4	primátorem
5	projednal
6	také
7	připravovanou
8	smlouvu
9	o
10	spolupráci
11	mezi
12	Ostravou
13	a
14	izraelským
15	městem
16	Rechovot
17	,
18	kde
19	je
20	jeden
21	z
22	největších
23	vědeckých
24	ústavů
25	na
26	světě
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Chanan	PROPN	5	nsubj
2	Rozen	PROPN	1	flat
3	s	ADP	4	case
4	primátorem	NOUN	5	obl:arg
5	projednal	VERB	0	root
6	také	ADV	5	advmod
7	připravovanou	ADJ	8	amod
8	smlouvu	NOUN	5	obj
9	o	ADP	10	case
10	spolupráci	NOUN	8	nmod
11	mezi	ADP	12	case
12	Ostravou	PROPN	10	nmod
13	a	CCONJ	15	cc
14	izraelským	ADJ	15	amod
15	městem	NOUN	12	conj
16	Rechovot	PROPN	15	nmod
17	,	PUNCT	19	punct
18	kde	ADV	19	advmod
19	je	VERB	15	acl:relcl
20	jeden	NUM	19	nsubj
21	z	ADP	24	case
22	největších	ADJ	24	amod
23	vědeckých	ADJ	24	amod
24	ústavů	NOUN	20	nmod
25	na	ADP	26	case
26	světě	NOUN	22	obl
27	.	PUNCT	5	punct