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 text: Francie, jako nějaká postava vymyšlená Molièrem, odvážila v nedělním referendu svou odpověď na apatykářských vážkách: 51.05 procenta pro ratifikaci maastrichtské dohody ustavující Evropskou unii, zbytek - představující téměř stejný počet hlasů - proti.
Position	Tokenization	UPOS	Head	Deprel
1	Francie	PROPN	9	nsubj
2	,	PUNCT	5	punct
3	jako	SCONJ	5	mark
4	nějaká	DET	5	det
5	postava	NOUN	1	xcomp
6	vymyšlená	ADJ	5	amod
7	Molièrem	PROPN	6	obl:arg
8	,	PUNCT	5	punct
9	odvážila	VERB	0	root
10	v	ADP	12	case
11	nedělním	ADJ	12	amod
12	referendu	NOUN	9	obl
13	svou	DET	14	det
14	odpověď	NOUN	9	obj
15	na	ADP	17	case
16	apatykářských	ADJ	17	amod
17	vážkách	NOUN	9	obl
18	:	PUNCT	20	punct
19	51.05	NUM	20	nummod:gov
20	procenta	NOUN	9	appos
21	pro	ADP	22	case
22	ratifikaci	NOUN	20	conj
23	maastrichtské	ADJ	22	amod
24	dohody	NOUN	22	nmod
25	ustavující	ADJ	24	amod
26	Evropskou	ADJ	27	amod
27	unii	NOUN	25	obj
28	,	PUNCT	29	punct
29	zbytek	NOUN	20	conj
30	-	PUNCT	31	punct
31	představující	ADJ	29	amod
32	téměř	ADV	33	advmod
33	stejný	ADJ	34	amod
34	počet	NOUN	31	obj
35	hlasů	NOUN	34	nmod
36	-	PUNCT	31	punct
37	proti	ADP	20	conj
38	.	PUNCT	9	punct