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:
Mezi čokoládami jednoznačně zvítězila čokoládová hvězda Orion, kterou za nejlepší označilo 31 procent dotázaných, v nejnižší příjmové skupině dokonce 38 procent respondentů.
Postion	Tokenization
1	Mezi
2	čokoládami
3	jednoznačně
4	zvítězila
5	čokoládová
6	hvězda
7	Orion
8	,
9	kterou
10	za
11	nejlepší
12	označilo
13	31
14	procent
15	dotázaných
16	_
17	,
18	v
19	nejnižší
20	příjmové
21	skupině
22	dokonce
23	38
24	procent
25	respondentů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Mezi	ADP	2	case
2	čokoládami	NOUN	4	obl
3	jednoznačně	ADV	4	advmod
4	zvítězila	VERB	0	root
5	čokoládová	ADJ	6	amod
6	hvězda	NOUN	4	nsubj
7	Orion	PROPN	6	nmod
8	,	PUNCT	12	punct
9	kterou	DET	12	obj
10	za	ADP	11	case
11	nejlepší	ADJ	12	obl:arg
12	označilo	VERB	6	acl:relcl
13	31	NUM	14	nummod:gov
14	procent	NOUN	12	nsubj
15	dotázaných	ADJ	14	dep
16	_	_	None	_
17	,	PUNCT	20	punct
18	v	ADP	20	case
19	nejnižší	ADJ	20	amod
20	příjmové	ADJ	20	amod
21	skupině	NOUN	4	conj
22	dokonce	ADV	22	advmod:emph
23	38	NUM	23	nummod:gov
24	procent	NOUN	20	orphan
25	respondentů	NOUN	23	nmod
26	.	PUNCT	4	punct