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:
Po cyklu truffautovském a renoirovském, výběru z tvorby Sachi Guitriho, Andrého Delvauxe či Marguerity Durasové přichází logicky na řadu i René Clair.
Postion	Tokenization
1	Po
2	cyklu
3	truffautovském
4	a
5	renoirovském
6	,
7	výběru
8	z
9	tvorby
10	Sachi
11	Guitriho
12	,
13	Andrého
14	Delvauxe
15	či
16	Marguerity
17	Durasové
18	přichází
19	logicky
20	na
21	řadu
22	i
23	René
24	Clair
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	cyklu	NOUN	18	obl
3	truffautovském	ADJ	2	amod
4	a	CCONJ	5	cc
5	renoirovském	ADJ	3	conj
6	,	PUNCT	7	punct
7	výběru	NOUN	2	conj
8	z	ADP	9	case
9	tvorby	NOUN	7	nmod
10	Sachi	PROPN	9	nmod
11	Guitriho	PROPN	10	flat
12	,	PUNCT	13	punct
13	Andrého	PROPN	10	conj
14	Delvauxe	PROPN	13	flat
15	či	CCONJ	16	cc
16	Marguerity	PROPN	10	conj
17	Durasové	PROPN	16	flat
18	přichází	VERB	0	root
19	logicky	ADV	18	advmod
20	na	ADP	21	case
21	řadu	NOUN	18	obl
22	i	CCONJ	24	advmod:emph
23	René	PROPN	24	nmod
24	Clair	PROPN	18	nsubj
25	.	PUNCT	18	punct