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:
Její obrat podle předběžných výsledků činí za loňský rok téměř 1133 miliardy korun, zisk před zdaněním je vypočten na 64.8 miliónu korun.
Postion	Tokenization
1	Její
2	obrat
3	podle
4	předběžných
5	výsledků
6	činí
7	za
8	loňský
9	rok
10	téměř
11	1133
12	miliardy
13	korun
14	,
15	zisk
16	před
17	zdaněním
18	je
19	vypočten
20	na
21	64.8
22	miliónu
23	korun
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	obrat	NOUN	6	nsubj
3	podle	ADP	5	case
4	předběžných	ADJ	5	amod
5	výsledků	NOUN	6	obl
6	činí	VERB	0	root
7	za	ADP	9	case
8	loňský	ADJ	9	amod
9	rok	NOUN	6	obl
10	téměř	ADV	12	advmod:emph
11	1133	NUM	12	nummod
12	miliardy	NOUN	6	obl:arg
13	korun	NOUN	12	nmod
14	,	PUNCT	19	punct
15	zisk	NOUN	19	nsubj:pass
16	před	ADP	17	case
17	zdaněním	NOUN	15	nmod
18	je	AUX	19	aux:pass
19	vypočten	ADJ	6	conj
20	na	ADP	22	case
21	64.8	NUM	22	nummod:gov
22	miliónu	NOUN	19	obl
23	korun	NOUN	22	nmod
24	.	PUNCT	6	punct