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:
V loňském roce se firmě Coca-Cola podařilo v celém světě prodat rekordní jednu miliardu kartónů pomerančové Fanty a citrónového nápoje Sprite.
Postion	Tokenization
1	V
2	loňském
3	roce
4	se
5	firmě
6	Coca
7	-
8	Cola
9	podařilo
10	v
11	celém
12	světě
13	prodat
14	rekordní
15	jednu
16	miliardu
17	kartónů
18	pomerančové
19	Fanty
20	a
21	citrónového
22	nápoje
23	Sprite
24	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	loňském	ADJ	3	amod
3	roce	NOUN	9	obl
4	se	PRON	9	expl:pv
5	firmě	NOUN	9	obl:arg
6	Coca	ADJ	8	amod
7	-	PUNCT	6	punct
8	Cola	PROPN	5	nmod
9	podařilo	VERB	0	root
10	v	ADP	12	case
11	celém	ADJ	12	amod
12	světě	NOUN	9	obl
13	prodat	VERB	9	csubj
14	rekordní	ADJ	16	amod
15	jednu	NUM	16	nummod
16	miliardu	NOUN	13	obj
17	kartónů	NOUN	16	nmod
18	pomerančové	ADJ	19	amod
19	Fanty	PROPN	17	nmod
20	a	CCONJ	22	cc
21	citrónového	ADJ	22	amod
22	nápoje	NOUN	19	conj
23	Sprite	PROPN	22	nmod
24	.	PUNCT	9	punct