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:
Sociální rozdíly se zprůhlední, na druhé straně budou tyto peníze jen dalším ze zdrojů pro zdravotnickou kapsu vedle finančních injekcí státu, pojišťoven, obcí, charity atd.
Postion	Tokenization
1	Sociální
2	rozdíly
3	se
4	zprůhlední
5	,
6	na
7	druhé
8	straně
9	budou
10	tyto
11	peníze
12	jen
13	dalším
14	ze
15	zdrojů
16	pro
17	zdravotnickou
18	kapsu
19	vedle
20	finančních
21	injekcí
22	státu
23	,
24	pojišťoven
25	,
26	obcí
27	,
28	charity
29	atd
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Sociální	ADJ	2	amod
2	rozdíly	NOUN	4	nsubj:pass
3	se	PRON	4	expl:pass
4	zprůhlední	VERB	0	root
5	,	PUNCT	13	punct
6	na	ADP	8	case
7	druhé	ADJ	8	amod
8	straně	NOUN	13	obl
9	budou	AUX	13	cop
10	tyto	DET	11	det
11	peníze	NOUN	13	nsubj
12	jen	PART	13	advmod:emph
13	dalším	ADJ	4	conj
14	ze	ADP	15	case
15	zdrojů	NOUN	13	nmod
16	pro	ADP	18	case
17	zdravotnickou	ADJ	18	amod
18	kapsu	NOUN	15	nmod
19	vedle	ADP	21	case
20	finančních	ADJ	21	amod
21	injekcí	NOUN	13	obl
22	státu	NOUN	21	nmod
23	,	PUNCT	24	punct
24	pojišťoven	NOUN	22	conj
25	,	PUNCT	26	punct
26	obcí	NOUN	22	conj
27	,	PUNCT	28	punct
28	charity	NOUN	22	conj
29	atd	ADV	28	cc
30	.	PUNCT	4	punct