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:
V tréninku na víkendové závody Světového poháru skokanů na lyžích v Oberstdorfu vytvořil ve 3. kole Francouz Prost rekord můstku výkonem 193 m.
Postion	Tokenization
1	V
2	tréninku
3	na
4	víkendové
5	závody
6	Světového
7	poháru
8	skokanů
9	na
10	lyžích
11	v
12	Oberstdorfu
13	vytvořil
14	ve
15	3
16	.
17	kole
18	Francouz
19	Prost
20	rekord
21	můstku
22	výkonem
23	193
24	m
25	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	tréninku	NOUN	13	obl
3	na	ADP	5	case
4	víkendové	ADJ	5	amod
5	závody	NOUN	2	nmod
6	Světového	ADJ	7	amod
7	poháru	NOUN	5	nmod
8	skokanů	NOUN	7	nmod
9	na	ADP	10	case
10	lyžích	NOUN	8	nmod
11	v	ADP	12	case
12	Oberstdorfu	PROPN	7	nmod
13	vytvořil	VERB	0	root
14	ve	ADP	17	case
15	3	NUM	17	nummod
16	.	PUNCT	15	punct
17	kole	NOUN	13	obl
18	Francouz	PROPN	13	nsubj
19	Prost	PROPN	18	flat
20	rekord	NOUN	13	obj
21	můstku	NOUN	20	nmod
22	výkonem	NOUN	13	obl
23	193	NUM	22	nummod
24	m	NOUN	23	nmod
25	.	PUNCT	13	punct