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:
Díky pochopení městského úřadu, který firmě letos zdarma pronajal část prostor bývalých městských jeslí, tady v červenci s minimálními úpravami otevřeli šicí dílnu.
Postion	Tokenization
1	Díky
2	pochopení
3	městského
4	úřadu
5	,
6	který
7	firmě
8	letos
9	zdarma
10	pronajal
11	část
12	prostor
13	bývalých
14	městských
15	jeslí
16	,
17	tady
18	v
19	červenci
20	s
21	minimálními
22	úpravami
23	otevřeli
24	šicí
25	dílnu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Díky	ADP	2	case
2	pochopení	NOUN	23	obl
3	městského	ADJ	4	amod
4	úřadu	NOUN	2	nmod
5	,	PUNCT	10	punct
6	který	DET	10	nsubj
7	firmě	NOUN	10	obl:arg
8	letos	ADV	10	advmod
9	zdarma	ADV	10	advmod
10	pronajal	VERB	4	acl:relcl
11	část	NOUN	10	obj
12	prostor	NOUN	11	nmod
13	bývalých	ADJ	15	amod
14	městských	ADJ	15	amod
15	jeslí	NOUN	12	nmod
16	,	PUNCT	10	punct
17	tady	ADV	23	advmod
18	v	ADP	19	case
19	červenci	NOUN	23	obl
20	s	ADP	22	case
21	minimálními	ADJ	22	amod
22	úpravami	NOUN	23	obl
23	otevřeli	VERB	0	root
24	šicí	ADJ	25	amod
25	dílnu	NOUN	23	obj
26	.	PUNCT	23	punct