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:
Kajakářku Štěpánku Hilgertovou dělily od stříbrné medaile dva dotyky na brankách a olympijský vítěz na kanoi Lukáš Pollert přišel o titul mistra světa jediným dotykem.
Postion	Tokenization
1	Kajakářku
2	Štěpánku
3	Hilgertovou
4	dělily
5	od
6	stříbrné
7	medaile
8	dva
9	dotyky
10	na
11	brankách
12	a
13	olympijský
14	vítěz
15	na
16	kanoi
17	Lukáš
18	Pollert
19	přišel
20	o
21	titul
22	mistra
23	světa
24	jediným
25	dotykem
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kajakářku	NOUN	4	obj
2	Štěpánku	PROPN	1	flat
3	Hilgertovou	PROPN	1	flat
4	dělily	VERB	0	root
5	od	ADP	7	case
6	stříbrné	ADJ	7	amod
7	medaile	NOUN	4	obl
8	dva	NUM	9	nummod
9	dotyky	NOUN	4	nsubj
10	na	ADP	11	case
11	brankách	NOUN	9	nmod
12	a	CCONJ	19	cc
13	olympijský	ADJ	14	amod
14	vítěz	NOUN	19	nsubj
15	na	ADP	16	case
16	kanoi	NOUN	14	nmod
17	Lukáš	PROPN	14	flat
18	Pollert	PROPN	14	flat
19	přišel	VERB	4	conj
20	o	ADP	21	case
21	titul	NOUN	19	obl:arg
22	mistra	NOUN	21	nmod
23	světa	NOUN	22	nmod
24	jediným	ADJ	25	amod
25	dotykem	NOUN	19	obl
26	.	PUNCT	4	punct