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: "To je další důvod, proč se mi plný podíl státu na nákladech soukromé školy zdá velmi sporný, protože rozdíl mezi soukromou a státní školou se v takovém případě poněkud ztrácí.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	To	DET	5	nsubj
3	je	AUX	5	cop
4	další	ADJ	5	amod
5	důvod	NOUN	0	root
6	,	PUNCT	17	punct
7	proč	ADV	17	advmod
8	se	PRON	17	expl:pv
9	mi	PRON	17	obl:arg
10	plný	ADJ	11	amod
11	podíl	NOUN	17	nsubj
12	státu	NOUN	11	nmod
13	na	ADP	14	case
14	nákladech	NOUN	11	nmod
15	soukromé	ADJ	16	amod
16	školy	NOUN	14	nmod
17	zdá	VERB	5	acl:relcl
18	velmi	ADV	19	advmod
19	sporný	ADJ	17	obj
20	,	PUNCT	33	punct
21	protože	SCONJ	33	mark
22	rozdíl	NOUN	33	nsubj
23	mezi	ADP	27	case
24	soukromou	ADJ	27	amod
25	a	CCONJ	26	cc
26	státní	ADJ	24	conj
27	školou	NOUN	22	nmod
28	se	PRON	33	expl:pv
29	v	ADP	31	case
30	takovém	DET	31	det
31	případě	NOUN	33	obl
32	poněkud	ADV	33	advmod
33	ztrácí	VERB	17	advcl
34	.	PUNCT	5	punct