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:
Má však nové ambiciózní asistenty Igora Tuzika z Dynama Moskva a Gennadije Cygurova, trenéra mistrovského celku Lada Togliatti a zároveň reprezentační dvacítky.
Postion	Tokenization
1	Má
2	však
3	nové
4	ambiciózní
5	asistenty
6	Igora
7	Tuzika
8	z
9	Dynama
10	Moskva
11	a
12	Gennadije
13	Cygurova
14	,
15	trenéra
16	mistrovského
17	celku
18	Lada
19	Togliatti
20	a
21	zároveň
22	reprezentační
23	dvacítky
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Má	VERB	0	root
2	však	CCONJ	1	cc
3	nové	ADJ	5	amod
4	ambiciózní	ADJ	5	amod
5	asistenty	NOUN	6	nmod
6	Igora	PROPN	1	obj
7	Tuzika	PROPN	6	flat
8	z	ADP	9	case
9	Dynama	NOUN	6	nmod
10	Moskva	PROPN	9	nmod
11	a	CCONJ	12	cc
12	Gennadije	PROPN	6	conj
13	Cygurova	PROPN	12	flat
14	,	PUNCT	15	punct
15	trenéra	NOUN	12	appos
16	mistrovského	ADJ	17	amod
17	celku	NOUN	15	nmod
18	Lada	PROPN	17	nmod
19	Togliatti	PROPN	18	nmod
20	a	CCONJ	23	cc
21	zároveň	ADV	23	advmod
22	reprezentační	ADJ	23	amod
23	dvacítky	NOUN	17	conj
24	.	PUNCT	1	punct