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:
Mluvě francouzsky, zaplatím na Petřínské rozhledně dvojnásobné vstupné a francouzský katalog Národní galerie mi bude o 600 Kč dražší než vydání v češtině.
Postion	Tokenization
1	Mluvě
2	francouzsky
3	,
4	zaplatím
5	na
6	Petřínské
7	rozhledně
8	dvojnásobné
9	vstupné
10	a
11	francouzský
12	katalog
13	Národní
14	galerie
15	mi
16	bude
17	o
18	600
19	Kč
20	dražší
21	než
22	vydání
23	v
24	češtině
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvě	VERB	4	xcomp
2	francouzsky	ADV	1	advmod
3	,	PUNCT	1	punct
4	zaplatím	VERB	0	root
5	na	ADP	7	case
6	Petřínské	ADJ	7	amod
7	rozhledně	NOUN	4	obl
8	dvojnásobné	ADJ	9	amod
9	vstupné	NOUN	4	iobj
10	a	CCONJ	20	cc
11	francouzský	ADJ	12	amod
12	katalog	NOUN	20	nsubj
13	Národní	ADJ	14	amod
14	galerie	NOUN	12	nmod
15	mi	PRON	20	obl
16	bude	AUX	20	cop
17	o	ADP	18	case
18	600	NUM	20	obl
19	Kč	NOUN	18	nmod
20	dražší	ADJ	4	conj
21	než	SCONJ	22	mark
22	vydání	NOUN	20	advcl
23	v	ADP	24	case
24	češtině	NOUN	22	nmod
25	.	PUNCT	4	punct