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:
Rekordní počet devíti nominací na prestižní filmové ceny Český lev získala parodická sci-fi Akumulátor 1 režiséra Jana Svěráka.
Postion	Tokenization
1	Rekordní
2	počet
3	devíti
4	nominací
5	na
6	prestižní
7	filmové
8	ceny
9	Český
10	lev
11	získala
12	parodická
13	sci
14	-
15	fi
16	Akumulátor
17	1
18	režiséra
19	Jana
20	Svěráka
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Rekordní	ADJ	2	amod
2	počet	NOUN	11	obj
3	devíti	NUM	4	nummod
4	nominací	NOUN	2	nmod
5	na	ADP	8	case
6	prestižní	ADJ	8	amod
7	filmové	ADJ	8	amod
8	ceny	NOUN	4	nmod
9	Český	ADJ	10	amod
10	lev	NOUN	8	nmod
11	získala	VERB	0	root
12	parodická	ADJ	13	amod
13	sci	ADJ	11	nsubj
14	-	PUNCT	15	punct
15	fi	NOUN	13	flat:foreign
16	Akumulátor	NOUN	13	nmod
17	1	NUM	16	nummod
18	režiséra	NOUN	13	nmod
19	Jana	PROPN	18	flat
20	Svěráka	PROPN	18	flat
21	.	PUNCT	11	punct