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:
Trojnásobný mistr světa Brit Jackie Stewart se pak stejně jako Ital Alessandro Nannini přiklání k názoru, že v Imole by se už nikdy jezdit nemělo.
Postion	Tokenization
1	Trojnásobný
2	mistr
3	světa
4	Brit
5	Jackie
6	Stewart
7	se
8	pak
9	stejně
10	jako
11	Ital
12	Alessandro
13	Nannini
14	přiklání
15	k
16	názoru
17	,
18	že
19	v
20	Imole
21	by
22	se
23	už
24	nikdy
25	jezdit
26	nemělo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Trojnásobný	ADJ	2	amod
2	mistr	NOUN	14	nsubj
3	světa	NOUN	2	nmod
4	Brit	PROPN	2	flat
5	Jackie	PROPN	2	flat
6	Stewart	PROPN	2	flat
7	se	PRON	14	expl:pv
8	pak	ADV	14	advmod
9	stejně	ADV	14	advmod
10	jako	SCONJ	11	mark
11	Ital	PROPN	9	advcl
12	Alessandro	PROPN	11	flat
13	Nannini	PROPN	11	flat
14	přiklání	VERB	0	root
15	k	ADP	16	case
16	názoru	NOUN	14	obl:arg
17	,	PUNCT	26	punct
18	že	SCONJ	26	mark
19	v	ADP	20	case
20	Imole	PROPN	26	obl
21	by	AUX	26	aux
22	se	PRON	26	expl:pass
23	už	ADV	24	advmod:emph
24	nikdy	ADV	26	advmod
25	jezdit	VERB	26	xcomp
26	nemělo	VERB	16	acl
27	.	PUNCT	14	punct