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 text: Průměrné mzdy v podniku s 25 a více zaměstnanci mohou podle slov V. Klause růst stejně rychle jako přidaná hodnota zvýšená o míru inflace a pětiprocentní pásmo tolerance.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrné	ADJ	2	amod
2	mzdy	NOUN	10	nsubj
3	v	ADP	4	case
4	podniku	NOUN	2	nmod
5	s	ADP	9	case
6	25	NUM	9	nummod
7	a	CCONJ	8	cc
8	více	ADV	6	conj
9	zaměstnanci	NOUN	4	nmod
10	mohou	VERB	0	root
11	podle	ADP	12	case
12	slov	NOUN	10	obl
13	V	PROPN	12	nmod
14	.	PUNCT	13	punct
15	Klause	PROPN	13	flat
16	růst	VERB	10	xcomp
17	stejně	ADV	18	advmod
18	rychle	ADV	10	advmod
19	jako	SCONJ	21	mark
20	přidaná	ADJ	21	amod
21	hodnota	NOUN	18	advcl
22	zvýšená	ADJ	21	amod
23	o	ADP	24	case
24	míru	NOUN	22	obl
25	inflace	NOUN	24	nmod
26	a	CCONJ	28	cc
27	pětiprocentní	ADJ	28	amod
28	pásmo	NOUN	24	conj
29	tolerance	NOUN	28	nmod
30	.	PUNCT	10	punct