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:
Nejvíc mne zaujal film jihoafrické autorky Dansy Köhlerové, která neobvykle představila podmořský svět, a také španělský snímek o Francově diktatuře, řekl zpravodaji LN předseda festivalové poroty.
Postion	Tokenization
1	Nejvíc
2	mne
3	zaujal
4	film
5	jihoafrické
6	autorky
7	Dansy
8	Köhlerové
9	,
10	která
11	neobvykle
12	představila
13	podmořský
14	svět
15	_
16	,
17	a
18	také
19	španělský
20	snímek
21	o
22	Francově
23	diktatuře
24	,
25	řekl
26	zpravodaji
27	LN
28	předseda
29	festivalové
30	poroty
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejvíc	ADV	3	advmod
2	mne	PRON	3	obj
3	zaujal	VERB	24	ccomp
4	film	NOUN	3	nsubj
5	jihoafrické	ADJ	6	amod
6	autorky	NOUN	4	nmod
7	Dansy	PROPN	6	flat
8	Köhlerové	PROPN	6	flat
9	,	PUNCT	12	punct
10	která	DET	12	nsubj
11	neobvykle	ADV	12	advmod
12	představila	VERB	6	acl:relcl
13	podmořský	ADJ	14	amod
14	svět	NOUN	12	obj
15	_	_	None	_
16	,	PUNCT	17	punct
17	a	CCONJ	17	cc
18	také	ADV	3	conj
19	španělský	ADJ	19	amod
20	snímek	NOUN	17	orphan
21	o	ADP	22	case
22	Francově	ADJ	22	amod
23	diktatuře	NOUN	19	nmod
24	,	PUNCT	3	punct
25	řekl	VERB	0	root
26	zpravodaji	NOUN	24	obl:arg
27	LN	PROPN	25	nmod
28	předseda	NOUN	24	nsubj
29	festivalové	ADJ	29	amod
30	poroty	NOUN	27	nmod
31	.	PUNCT	24	punct