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:
Svoji medailovou sbírku v premiéře této disciplíny na MS rozšířila legenda ženské cyklistiky Jeannie Longová, která doplnila nejlepší dvojici na stupních vítězů.
Postion	Tokenization
1	Svoji
2	medailovou
3	sbírku
4	v
5	premiéře
6	této
7	disciplíny
8	na
9	MS
10	rozšířila
11	legenda
12	ženské
13	cyklistiky
14	Jeannie
15	Longová
16	,
17	která
18	doplnila
19	nejlepší
20	dvojici
21	na
22	stupních
23	vítězů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Svoji	DET	3	det
2	medailovou	ADJ	3	amod
3	sbírku	NOUN	10	obj
4	v	ADP	5	case
5	premiéře	NOUN	3	nmod
6	této	DET	7	det
7	disciplíny	NOUN	5	nmod
8	na	ADP	9	case
9	MS	NOUN	5	nmod
10	rozšířila	VERB	0	root
11	legenda	NOUN	10	nsubj
12	ženské	ADJ	13	amod
13	cyklistiky	NOUN	11	nmod
14	Jeannie	PROPN	11	flat
15	Longová	PROPN	11	flat
16	,	PUNCT	18	punct
17	která	DET	18	nsubj
18	doplnila	VERB	11	acl:relcl
19	nejlepší	ADJ	20	amod
20	dvojici	NOUN	18	obj
21	na	ADP	22	case
22	stupních	NOUN	18	obl
23	vítězů	NOUN	22	nmod
24	.	PUNCT	10	punct