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:
Milka je nejlépe hodnocenou značkou čokolády lidí, kteří žijí v největších městech (32 %) a v domácnostech v nejvyšší příjmové skupině (30 %).
Postion	Tokenization
1	Milka
2	je
3	nejlépe
4	hodnocenou
5	značkou
6	čokolády
7	lidí
8	,
9	kteří
10	žijí
11	v
12	největších
13	městech
14	(
15	32
16	%
17	)
18	a
19	v
20	domácnostech
21	v
22	nejvyšší
23	příjmové
24	skupině
25	(
26	30
27	%
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Milka	PROPN	5	nsubj
2	je	AUX	5	cop
3	nejlépe	ADV	4	advmod
4	hodnocenou	ADJ	5	amod
5	značkou	NOUN	0	root
6	čokolády	NOUN	5	nmod
7	lidí	NOUN	6	nmod
8	,	PUNCT	10	punct
9	kteří	DET	10	nsubj
10	žijí	VERB	7	acl:relcl
11	v	ADP	13	case
12	největších	ADJ	13	amod
13	městech	NOUN	10	obl
14	(	PUNCT	13	punct
15	32	NUM	13	dep
16	%	SYM	15	nmod
17	)	PUNCT	13	punct
18	a	CCONJ	20	cc
19	v	ADP	20	case
20	domácnostech	NOUN	13	conj
21	v	ADP	24	case
22	nejvyšší	ADJ	24	amod
23	příjmové	ADJ	24	amod
24	skupině	NOUN	20	nmod
25	(	PUNCT	20	punct
26	30	NUM	20	dep
27	%	SYM	26	nmod
28	)	PUNCT	20	punct
29	.	PUNCT	5	punct