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: Na příslušných soudech v Praze, Brně, Ostravě, Plzni a v Českých Budějovicích jsme si ověřili, že prakticky všechny podané návrhy na konkurz se týkají především malých, případně středně velkých soukromých firem.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	příslušných	ADJ	3	amod
3	soudech	NOUN	18	obl
4	v	ADP	5	case
5	Praze	PROPN	15	nmod
6	,	PUNCT	7	punct
7	Brně	PROPN	5	conj
8	,	PUNCT	9	punct
9	Ostravě	PROPN	5	conj
10	,	PUNCT	11	punct
11	Plzni	NOUN	5	conj
12	a	CCONJ	15	cc
13	v	ADP	15	case
14	Českých	ADJ	15	amod
15	Budějovicích	PROPN	3	nmod
16	jsme	AUX	18	aux
17	si	PRON	18	obl
18	ověřili	VERB	0	root
19	,	PUNCT	28	punct
20	že	SCONJ	28	mark
21	prakticky	ADV	22	dep
22	všechny	DET	24	det
23	podané	ADJ	24	amod
24	návrhy	NOUN	28	nsubj
25	na	ADP	26	case
26	konkurz	NOUN	24	nmod
27	se	PRON	28	expl:pv
28	týkají	VERB	18	ccomp
29	především	ADV	30	advmod:emph
30	malých	ADJ	36	amod
31	,	PUNCT	34	punct
32	případně	ADV	34	cc
33	středně	ADV	34	advmod
34	velkých	ADJ	30	conj
35	soukromých	ADJ	36	amod
36	firem	NOUN	28	obl:arg
37	.	PUNCT	18	punct