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:
Práce expertů a zahraniční zkušenosti přitom ukazují, že nákladové nájemné při nezanedbané údržbě činí 3-4 % této částky, čili 300-400 Kč/m ročně při nízké inflaci.
Postion	Tokenization
1	Práce
2	expertů
3	a
4	zahraniční
5	zkušenosti
6	přitom
7	ukazují
8	,
9	že
10	nákladové
11	nájemné
12	při
13	nezanedbané
14	údržbě
15	činí
16	3
17	-
18	4
19	%
20	této
21	částky
22	,
23	čili
24	300
25	-
26	400
27	Kč
28	/
29	m
30	ročně
31	při
32	nízké
33	inflaci
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Práce	NOUN	7	nsubj
2	expertů	NOUN	1	nmod
3	a	CCONJ	5	cc
4	zahraniční	ADJ	5	amod
5	zkušenosti	NOUN	1	conj
6	přitom	ADV	7	advmod
7	ukazují	VERB	0	root
8	,	PUNCT	15	punct
9	že	SCONJ	15	mark
10	nákladové	ADJ	11	amod
11	nájemné	NOUN	15	nsubj
12	při	ADP	14	case
13	nezanedbané	ADJ	14	amod
14	údržbě	NOUN	11	nmod
15	činí	VERB	7	ccomp
16	3	NUM	19	nummod
17	-	PUNCT	18	punct
18	4	NUM	16	conj
19	%	SYM	15	obj
20	této	DET	21	det
21	částky	NOUN	19	nmod
22	,	PUNCT	24	punct
23	čili	CCONJ	24	cc
24	300	NUM	19	appos
25	-	PUNCT	26	punct
26	400	NUM	24	conj
27	Kč	NOUN	24	nmod
28	/	PUNCT	29	punct
29	m	NOUN	27	nmod
30	ročně	ADV	15	advmod
31	při	ADP	33	case
32	nízké	ADJ	33	amod
33	inflaci	NOUN	15	obl
34	.	PUNCT	7	punct