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:
Celkem se firmě Coca-Cola podařilo v roce 1994 prodat o více než 50 miliónů kartónů svých produktů víc než v předchozích letech.
Postion	Tokenization
1	Celkem
2	se
3	firmě
4	Coca
5	-
6	Cola
7	podařilo
8	v
9	roce
10	1994
11	prodat
12	o
13	více
14	než
15	50
16	miliónů
17	kartónů
18	svých
19	produktů
20	víc
21	než
22	v
23	předchozích
24	letech
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Celkem	ADV	7	advmod
2	se	PRON	7	expl:pv
3	firmě	NOUN	7	obl:arg
4	Coca	ADJ	6	amod
5	-	PUNCT	4	punct
6	Cola	PROPN	3	nmod
7	podařilo	VERB	0	root
8	v	ADP	9	case
9	roce	NOUN	7	obl
10	1994	NUM	9	nummod
11	prodat	VERB	7	csubj
12	o	ADP	13	case
13	více	ADV	20	advmod
14	než	SCONJ	16	mark
15	50	NUM	16	nummod:gov
16	miliónů	NOUN	13	obl
17	kartónů	NOUN	13	nmod
18	svých	DET	19	det
19	produktů	NOUN	17	nmod
20	víc	ADV	11	obj
21	než	SCONJ	24	mark
22	v	ADP	24	case
23	předchozích	ADJ	24	amod
24	letech	NOUN	20	dep
25	.	PUNCT	7	punct