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: Podle dalších tezí chce JV například snížit finanční náročnost MHD pro občany, podporovat talentované tvůrce a soubory soustavnou dotací, obnovit výstavbu zejména sociálních bytů, či zlepšit péči o parky a zelené plochy.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	dalších	ADJ	3	amod
3	tezí	NOUN	4	obl
4	chce	VERB	0	root
5	JV	PROPN	4	nsubj
6	například	ADV	4	advmod
7	snížit	VERB	4	xcomp
8	finanční	ADJ	9	amod
9	náročnost	NOUN	7	obj
10	MHD	NOUN	9	nmod
11	pro	ADP	12	case
12	občany	NOUN	9	nmod
13	,	PUNCT	14	punct
14	podporovat	VERB	7	conj
15	talentované	ADJ	16	amod
16	tvůrce	NOUN	14	obj
17	a	CCONJ	18	cc
18	soubory	NOUN	16	conj
19	soustavnou	ADJ	20	amod
20	dotací	NOUN	14	obl
21	,	PUNCT	22	punct
22	obnovit	VERB	7	conj
23	výstavbu	NOUN	22	obj
24	zejména	ADV	26	advmod:emph
25	sociálních	ADJ	26	amod
26	bytů	NOUN	23	nmod
27	,	PUNCT	29	punct
28	či	CCONJ	29	cc
29	zlepšit	VERB	7	conj
30	péči	NOUN	29	obj
31	o	ADP	32	case
32	parky	NOUN	30	nmod
33	a	CCONJ	35	cc
34	zelené	ADJ	35	amod
35	plochy	NOUN	32	conj
36	.	PUNCT	4	punct