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:
Největší počet Césarů si odnesl snímek Královna Margot režiséra Patrice Chéreaua, líčící katolické perzekuce protestantů ve Francii v 16. století.
Postion	Tokenization
1	Největší
2	počet
3	Césarů
4	si
5	odnesl
6	snímek
7	Královna
8	Margot
9	režiséra
10	Patrice
11	Chéreaua
12	,
13	líčící
14	katolické
15	perzekuce
16	protestantů
17	ve
18	Francii
19	v
20	16
21	.
22	století
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	počet	NOUN	5	obj
3	Césarů	PROPN	2	nmod
4	si	PRON	5	obl:arg
5	odnesl	VERB	0	root
6	snímek	NOUN	5	nsubj
7	Královna	NOUN	6	nmod
8	Margot	PROPN	7	nmod
9	režiséra	NOUN	6	nmod
10	Patrice	PROPN	9	flat
11	Chéreaua	PROPN	9	flat
12	,	PUNCT	13	punct
13	líčící	ADJ	6	amod
14	katolické	ADJ	15	amod
15	perzekuce	NOUN	13	obj
16	protestantů	NOUN	15	nmod
17	ve	ADP	18	case
18	Francii	PROPN	16	nmod
19	v	ADP	22	case
20	16	NUM	22	nummod
21	.	PUNCT	20	punct
22	století	NOUN	15	nmod
23	.	PUNCT	5	punct