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: Zahraniční lektor má o 1100 korun větší osobní plat, což je sice pořád ještě pakatel - všichni to dělají z čistého nadšení - ale mně se stejně ztenčuje mzdový fond víc než jiným školám, kde tolik lektorů nemají.
Position	Tokenization	UPOS	Head	Deprel
1	Zahraniční	ADJ	2	amod
2	lektor	NOUN	3	nsubj
3	má	VERB	0	root
4	o	ADP	6	case
5	1100	NUM	6	nummod:gov
6	korun	NOUN	7	obl
7	větší	ADJ	9	xcomp
8	osobní	ADJ	9	amod
9	plat	NOUN	3	obj
10	,	PUNCT	16	punct
11	což	PRON	16	nsubj
12	je	AUX	16	cop
13	sice	ADV	16	cc
14	pořád	ADV	16	advmod
15	ještě	ADV	16	advmod:emph
16	pakatel	NOUN	3	conj
17	-	PUNCT	20	punct
18	všichni	DET	20	nsubj
19	to	DET	20	obj
20	dělají	VERB	16	parataxis
21	z	ADP	23	case
22	čistého	ADJ	23	amod
23	nadšení	NOUN	20	obl
24	-	PUNCT	20	punct
25	ale	CCONJ	29	cc
26	mně	PRON	29	obl:arg
27	se	PRON	29	expl:pass
28	stejně	ADV	29	advmod
29	ztenčuje	VERB	16	conj
30	mzdový	ADJ	31	amod
31	fond	NOUN	29	nsubj:pass
32	víc	ADV	29	advmod
33	než	SCONJ	35	mark
34	jiným	ADJ	35	amod
35	školám	NOUN	32	advcl
36	,	PUNCT	40	punct
37	kde	ADV	40	advmod
38	tolik	DET	39	det:numgov
39	lektorů	NOUN	40	obj
40	nemají	VERB	35	acl:relcl
41	.	PUNCT	3	punct