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:
Nejsilnější zbraní Zlína v loňské sezoně byl útok, který po návratu Jaroslava Huba z hostování v Jihlavě (nejproduktivnější hráč Dukly) jistě získá na údernosti.
Postion	Tokenization
1	Nejsilnější
2	zbraní
3	Zlína
4	v
5	loňské
6	sezoně
7	byl
8	útok
9	,
10	který
11	po
12	návratu
13	Jaroslava
14	Huba
15	z
16	hostování
17	v
18	Jihlavě
19	(
20	nejproduktivnější
21	hráč
22	Dukly
23	)
24	jistě
25	získá
26	na
27	údernosti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejsilnější	ADJ	2	amod
2	zbraní	NOUN	0	root
3	Zlína	PROPN	2	nmod
4	v	ADP	6	case
5	loňské	ADJ	6	amod
6	sezoně	NOUN	1	obl
7	byl	AUX	2	cop
8	útok	NOUN	2	nsubj
9	,	PUNCT	25	punct
10	který	DET	25	nsubj
11	po	ADP	12	case
12	návratu	NOUN	25	obl
13	Jaroslava	PROPN	12	nmod
14	Huba	PROPN	13	flat
15	z	ADP	16	case
16	hostování	NOUN	12	nmod
17	v	ADP	18	case
18	Jihlavě	PROPN	16	nmod
19	(	PUNCT	21	punct
20	nejproduktivnější	ADJ	21	amod
21	hráč	NOUN	13	dep
22	Dukly	PROPN	21	nmod
23	)	PUNCT	21	punct
24	jistě	ADV	25	advmod
25	získá	VERB	8	acl:relcl
26	na	ADP	27	case
27	údernosti	NOUN	25	obl:arg
28	.	PUNCT	2	punct