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: Idea podzemních garáží na Klárově, na Malostranském náměstí i na Újezdě se však postupně rozplynula, proto nakonec obvodní úřad přistoupil na kompromis a dal si od parlamentu zaplatit dvacetimilionovou zálohu za padesát parkovacích míst (jedno místo= čtyři sta tisíc korun).
Position	Tokenization	UPOS	Head	Deprel
1	Idea	NOUN	16	nsubj
2	podzemních	ADJ	3	amod
3	garáží	NOUN	1	nmod
4	na	ADP	5	case
5	Klárově	PROPN	3	nmod
6	,	PUNCT	9	punct
7	na	ADP	9	case
8	Malostranském	ADJ	9	amod
9	náměstí	NOUN	5	conj
10	i	CCONJ	12	cc
11	na	ADP	12	case
12	Újezdě	PROPN	5	conj
13	se	PRON	16	expl:pv
14	však	CCONJ	16	cc
15	postupně	ADV	16	advmod
16	rozplynula	VERB	0	root
17	,	PUNCT	22	punct
18	proto	CCONJ	22	cc
19	nakonec	ADV	22	advmod
20	obvodní	ADJ	21	amod
21	úřad	NOUN	22	nsubj
22	přistoupil	VERB	16	conj
23	na	ADP	24	case
24	kompromis	NOUN	22	obl:arg
25	a	CCONJ	26	cc
26	dal	VERB	22	conj
27	si	PRON	30	obl:arg
28	od	ADP	29	case
29	parlamentu	NOUN	30	obl:arg
30	zaplatit	VERB	26	xcomp
31	dvacetimilionovou	ADJ	32	amod
32	zálohu	NOUN	30	obj
33	za	ADP	36	case
34	padesát	NUM	36	nummod:gov
35	parkovacích	ADJ	36	amod
36	míst	NOUN	30	obl:arg
37	(	PUNCT	39	punct
38	jedno	NUM	39	nummod
39	místo	NOUN	26	dep
40	=	SYM	42	cc
41	čtyři	NUM	42	nummod
42	sta	NOUN	39	appos
43	tisíc	NUM	44	nummod:gov
44	korun	NOUN	42	nmod
45	)	PUNCT	39	punct
46	.	PUNCT	16	punct