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:
Sraz milovníků legendárních motocyklů Harley-Davidson v Cunlhatu ve střední Francii měl podstatně vyšší účast než nedávné setkání majitelů strojů této značky v Praze.
Postion	Tokenization
1	Sraz
2	milovníků
3	legendárních
4	motocyklů
5	Harley
6	-
7	Davidson
8	v
9	Cunlhatu
10	ve
11	střední
12	Francii
13	měl
14	podstatně
15	vyšší
16	účast
17	než
18	nedávné
19	setkání
20	majitelů
21	strojů
22	této
23	značky
24	v
25	Praze
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Sraz	NOUN	13	nsubj
2	milovníků	NOUN	1	nmod
3	legendárních	ADJ	4	amod
4	motocyklů	NOUN	2	nmod
5	Harley	PROPN	4	nmod
6	-	PUNCT	5	punct
7	Davidson	PROPN	5	flat
8	v	ADP	9	case
9	Cunlhatu	PROPN	1	nmod
10	ve	ADP	12	case
11	střední	ADJ	12	amod
12	Francii	PROPN	1	nmod
13	měl	VERB	0	root
14	podstatně	ADV	15	advmod
15	vyšší	ADJ	16	amod
16	účast	NOUN	13	obj
17	než	SCONJ	19	mark
18	nedávné	ADJ	19	amod
19	setkání	NOUN	15	advcl
20	majitelů	NOUN	19	nmod
21	strojů	NOUN	20	nmod
22	této	DET	23	det
23	značky	NOUN	21	nmod
24	v	ADP	25	case
25	Praze	PROPN	19	nmod
26	.	PUNCT	13	punct