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: Britští pracovníci automobilky Toyota si ročně vydělají kolem 13000 liber hrubého, což je přibližně o 50 % méně než berou dělníci v německých automobilkách, kde jsou nejvyšší mzdy v tomto oboru na světě.
Position	Tokenization	UPOS	Head	Deprel
1	Britští	ADJ	2	amod
2	pracovníci	NOUN	7	nsubj
3	automobilky	NOUN	2	nmod
4	Toyota	PROPN	3	nmod
5	si	PRON	7	obl
6	ročně	ADV	7	advmod
7	vydělají	VERB	0	root
8	kolem	ADP	10	case
9	13000	NUM	10	nummod:gov
10	liber	NOUN	7	obl:arg
11	hrubého	ADJ	9	amod
12	,	PUNCT	19	punct
13	což	PRON	19	nsubj
14	je	AUX	19	cop
15	přibližně	ADV	17	advmod:emph
16	o	ADP	17	case
17	50	NUM	19	obl
18	%	SYM	17	nmod
19	méně	ADV	7	conj
20	než	SCONJ	21	mark
21	berou	VERB	19	advcl
22	dělníci	NOUN	21	nsubj
23	v	ADP	25	case
24	německých	ADJ	25	amod
25	automobilkách	NOUN	22	nmod
26	,	PUNCT	28	punct
27	kde	ADV	28	advmod
28	jsou	VERB	25	acl:relcl
29	nejvyšší	ADJ	30	amod
30	mzdy	NOUN	28	nsubj
31	v	ADP	33	case
32	tomto	DET	33	det
33	oboru	NOUN	30	nmod
34	na	ADP	35	case
35	světě	NOUN	29	nmod
36	.	PUNCT	7	punct