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: Filip Dvořák z odboru hospodářské politiky LN řekl, že magistrátu šlo pouze o to, aby objekt nový nájemník využíval pro město prospěšně a aby budovu zrestauroval v souladu s jejím charakterem.
Position	Tokenization	UPOS	Head	Deprel
1	Filip	PROPN	8	nsubj
2	Dvořák	PROPN	1	flat
3	z	ADP	4	case
4	odboru	NOUN	1	nmod
5	hospodářské	ADJ	6	amod
6	politiky	NOUN	4	nmod
7	LN	PROPN	8	iobj
8	řekl	VERB	0	root
9	,	PUNCT	12	punct
10	že	SCONJ	12	mark
11	magistrátu	NOUN	12	obl
12	šlo	VERB	8	ccomp
13	pouze	ADV	15	advmod:emph
14	o	ADP	15	case
15	to	DET	12	obl:arg
16	,	PUNCT	22	punct
17	aby	_	None	_
18	aby	SCONJ	22	mark
19	by	AUX	22	aux
20	objekt	NOUN	22	obj
21	nový	ADJ	21	amod
22	nájemník	NOUN	22	nsubj
23	využíval	VERB	15	acl
24	pro	ADP	24	case
25	město	NOUN	22	obl
26	prospěšně	ADV	22	advmod
27	a	CCONJ	30	cc
28	aby	_	None	_
29	aby	SCONJ	30	mark
30	by	AUX	30	aux
31	budovu	NOUN	30	obj
32	zrestauroval	VERB	22	conj
33	v	ADP	35	case
34	souladu	NOUN	31	fixed
35	s	ADP	31	fixed
36	jejím	DET	35	det
37	charakterem	NOUN	30	obl
38	.	PUNCT	8	punct