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:
V tom se lišíme od ostatních soukromých škol v Čechách financovaných ze zahraničí, které podle mého názoru účtují školné v takové výši, aby vydělaly.
Postion	Tokenization
1	V
2	tom
3	se
4	lišíme
5	od
6	ostatních
7	soukromých
8	škol
9	v
10	Čechách
11	financovaných
12	ze
13	zahraničí
14	,
15	které
16	podle
17	mého
18	názoru
19	účtují
20	školné
21	v
22	takové
23	výši
24	,
25	aby
26	aby
27	by
28	vydělaly
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	tom	DET	4	obl:arg
3	se	PRON	4	expl:pv
4	lišíme	VERB	0	root
5	od	ADP	8	case
6	ostatních	ADJ	8	amod
7	soukromých	ADJ	8	amod
8	škol	NOUN	4	obl:arg
9	v	ADP	10	case
10	Čechách	PROPN	8	nmod
11	financovaných	ADJ	8	amod
12	ze	ADP	13	case
13	zahraničí	NOUN	11	obl
14	,	PUNCT	19	punct
15	které	DET	19	nsubj
16	podle	ADP	18	case
17	mého	DET	18	det
18	názoru	NOUN	19	obl
19	účtují	VERB	8	acl:relcl
20	školné	NOUN	19	obj
21	v	ADP	23	case
22	takové	DET	23	det
23	výši	NOUN	20	nmod
24	,	PUNCT	27	punct
25	aby	_	None	_
26	aby	SCONJ	27	mark
27	by	AUX	27	aux
28	vydělaly	VERB	23	acl
29	.	PUNCT	4	punct