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: Některým jsem nabídl školné pět tisíc měsíčně, některým jen čtyři a některým - ti ovšem získali zvláštní stipendium za vynikající výkon u přijímací zkoušky - dokonce jen tisíc sedm set padesát korun měsíčně.
Position	Tokenization	UPOS	Head	Deprel
1	Některým	DET	3	obl:arg
2	jsem	AUX	3	aux
3	nabídl	VERB	0	root
4	školné	NOUN	3	obj
5	pět	NUM	4	nummod
6	tisíc	NUM	5	compound
7	měsíčně	ADV	6	advmod
8	_	_	None	_
9	,	PUNCT	9	punct
10	některým	DET	3	conj
11	jen	PART	11	advmod:emph
12	čtyři	NUM	9	orphan
13	a	CCONJ	9	cc
14	některým	DET	9	orphan
15	-	PUNCT	17	punct
16	ti	DET	17	nsubj
17	ovšem	CCONJ	17	advmod
18	získali	VERB	13	parataxis
19	zvláštní	ADJ	19	amod
20	stipendium	NOUN	17	obj
21	za	ADP	22	case
22	vynikající	ADJ	22	amod
23	výkon	NOUN	19	nmod
24	u	ADP	25	case
25	přijímací	ADJ	25	amod
26	zkoušky	NOUN	22	nmod
27	-	PUNCT	17	punct
28	dokonce	ADV	32	advmod:emph
29	jen	PART	32	advmod:emph
30	tisíc	NOUN	32	nmod
31	sedm	NUM	31	nummod:gov
32	set	NOUN	9	orphan
33	padesát	NUM	31	nummod:gov
34	korun	NOUN	32	nmod
35	měsíčně	ADV	33	advmod
36	.	PUNCT	3	punct