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:
Podle našich informací najdete takové školy v Praze 2 v ulici Moravské, v Praze 2 na Náměstí Míru,kde sídlí i Cech podnikatelů v autoopravárenství a v Praze 9, ulici Beranových.
Postion	Tokenization
1	Podle
2	našich
3	informací
4	najdete
5	takové
6	školy
7	v
8	Praze
9	2
10	v
11	ulici
12	Moravské
13	_
14	,
15	v
16	Praze
17	2
18	na
19	Náměstí
20	Míru
21	,
22	kde
23	sídlí
24	i
25	Cech
26	podnikatelů
27	v
28	autoopravárenství
29	a
30	v
31	Praze
32	9
33	,
34	ulici
35	Beranových
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	našich	DET	3	det
3	informací	NOUN	4	obl
4	najdete	VERB	0	root
5	takové	DET	6	det
6	školy	NOUN	4	obj
7	v	ADP	8	case
8	Praze	PROPN	4	obl
9	2	NUM	8	nummod
10	v	ADP	11	case
11	ulici	NOUN	4	obl
12	Moravské	ADJ	11	amod
13	_	_	None	_
14	,	PUNCT	15	punct
15	v	ADP	15	case
16	Praze	PROPN	4	conj
17	2	NUM	15	nummod
18	na	ADP	18	case
19	Náměstí	NOUN	15	orphan
20	Míru	NOUN	18	nmod
21	,	PUNCT	22	punct
22	kde	ADV	22	advmod
23	sídlí	VERB	18	acl:relcl
24	i	CCONJ	24	advmod:emph
25	Cech	NOUN	22	nsubj
26	podnikatelů	NOUN	24	nmod
27	v	ADP	27	case
28	autoopravárenství	NOUN	25	nmod
29	a	CCONJ	15	cc
30	v	ADP	30	case
31	Praze	PROPN	15	orphan
32	9	NUM	30	nummod
33	,	PUNCT	33	punct
34	ulici	NOUN	30	appos
35	Beranových	ADJ	33	amod
36	.	PUNCT	4	punct