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:
Luboši Hilgertovi, českému kajakáři, se zastavil dech, když mu v cíli první jízdy kvalifikace na mistrovství světa ve vodním slalomu zvážili loď.
Postion	Tokenization
1	Luboši
2	Hilgertovi
3	,
4	českému
5	kajakáři
6	,
7	se
8	zastavil
9	dech
10	,
11	když
12	mu
13	v
14	cíli
15	první
16	jízdy
17	kvalifikace
18	na
19	mistrovství
20	světa
21	ve
22	vodním
23	slalomu
24	zvážili
25	loď
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Luboši	PROPN	8	obl
2	Hilgertovi	PROPN	1	flat
3	,	PUNCT	5	punct
4	českému	ADJ	5	amod
5	kajakáři	NOUN	1	appos
6	,	PUNCT	8	punct
7	se	PRON	8	expl:pv
8	zastavil	VERB	0	root
9	dech	NOUN	8	nsubj
10	,	PUNCT	24	punct
11	když	SCONJ	24	mark
12	mu	PRON	24	obl
13	v	ADP	14	case
14	cíli	NOUN	24	obl
15	první	ADJ	16	amod
16	jízdy	NOUN	14	nmod
17	kvalifikace	NOUN	16	nmod
18	na	ADP	19	case
19	mistrovství	NOUN	17	nmod
20	světa	NOUN	19	nmod
21	ve	ADP	23	case
22	vodním	ADJ	23	amod
23	slalomu	NOUN	19	nmod
24	zvážili	VERB	8	advcl
25	loď	NOUN	24	obj
26	.	PUNCT	8	punct