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:
Zážitků chtivé publikum ovšem s potěšením aplaudovalo i ruským jezdcům na Kamazech, kteří zaujali spíše drsným stylem jízdy a sem tam i poněkud krkolomnými kousky.
Postion	Tokenization
1	Zážitků
2	chtivé
3	publikum
4	ovšem
5	s
6	potěšením
7	aplaudovalo
8	i
9	ruským
10	jezdcům
11	na
12	Kamazech
13	,
14	kteří
15	zaujali
16	spíše
17	drsným
18	stylem
19	jízdy
20	_
21	a
22	sem
23	tam
24	i
25	poněkud
26	krkolomnými
27	kousky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zážitků	NOUN	2	obl:arg
2	chtivé	ADJ	3	amod
3	publikum	NOUN	7	nsubj
4	ovšem	CCONJ	7	cc
5	s	ADP	6	case
6	potěšením	NOUN	7	obl
7	aplaudovalo	VERB	0	root
8	i	CCONJ	10	advmod:emph
9	ruským	ADJ	10	amod
10	jezdcům	NOUN	7	obl:arg
11	na	ADP	12	case
12	Kamazech	PROPN	10	nmod
13	,	PUNCT	15	punct
14	kteří	DET	15	nsubj
15	zaujali	VERB	10	acl:relcl
16	spíše	ADV	18	advmod:emph
17	drsným	ADJ	18	amod
18	stylem	NOUN	15	obl
19	jízdy	NOUN	18	nmod
20	_	_	None	_
21	a	CCONJ	21	cc
22	sem	ADV	15	conj
23	tam	ADV	21	orphan
24	i	CCONJ	26	advmod:emph
25	poněkud	ADV	25	advmod
26	krkolomnými	ADJ	26	amod
27	kousky	NOUN	21	orphan
28	.	PUNCT	7	punct