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:
Největšími zakázkami Lucernafilmu byla smlouva s francouzským Gaumontem na 80 francouzských filmů, postupně k nim přibyly další z jiných evropských studií.
Postion	Tokenization
1	Největšími
2	zakázkami
3	Lucernafilmu
4	byla
5	smlouva
6	s
7	francouzským
8	Gaumontem
9	na
10	80
11	francouzských
12	filmů
13	,
14	postupně
15	k
16	nim
17	přibyly
18	další
19	z
20	jiných
21	evropských
22	studií
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Největšími	ADJ	2	amod
2	zakázkami	NOUN	0	root
3	Lucernafilmu	PROPN	2	nmod
4	byla	AUX	2	cop
5	smlouva	NOUN	2	nsubj
6	s	ADP	8	case
7	francouzským	ADJ	8	amod
8	Gaumontem	PROPN	5	nmod
9	na	ADP	12	case
10	80	NUM	12	nummod:gov
11	francouzských	ADJ	12	amod
12	filmů	NOUN	5	nmod
13	,	PUNCT	17	punct
14	postupně	ADV	17	advmod
15	k	ADP	16	case
16	nim	PRON	17	obl
17	přibyly	VERB	2	conj
18	další	ADJ	17	dep
19	z	ADP	22	case
20	jiných	ADJ	22	amod
21	evropských	ADJ	22	amod
22	studií	NOUN	17	obl
23	.	PUNCT	2	punct