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:
Fond proto vyhlásil veřejné výběrové řízení s termínem přihlášek do 3. března pro firmy, které ještě letos až 250 soutěží a 150 dražeb uskuteční.
Postion	Tokenization
1	Fond
2	proto
3	vyhlásil
4	veřejné
5	výběrové
6	řízení
7	s
8	termínem
9	přihlášek
10	do
11	3
12	.
13	března
14	pro
15	firmy
16	,
17	které
18	ještě
19	letos
20	až
21	250
22	soutěží
23	a
24	150
25	dražeb
26	uskuteční
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Fond	NOUN	3	nsubj
2	proto	CCONJ	3	cc
3	vyhlásil	VERB	0	root
4	veřejné	ADJ	6	amod
5	výběrové	ADJ	6	amod
6	řízení	NOUN	3	obj
7	s	ADP	8	case
8	termínem	NOUN	6	nmod
9	přihlášek	NOUN	8	nmod
10	do	ADP	13	case
11	3	NUM	13	nummod
12	.	PUNCT	11	punct
13	března	NOUN	9	nmod
14	pro	ADP	15	case
15	firmy	NOUN	6	nmod
16	,	PUNCT	26	punct
17	které	DET	26	nsubj
18	ještě	ADV	19	advmod:emph
19	letos	ADV	26	advmod
20	až	PART	22	advmod:emph
21	250	NUM	22	nummod:gov
22	soutěží	NOUN	26	obj
23	a	CCONJ	25	cc
24	150	NUM	25	nummod:gov
25	dražeb	NOUN	22	conj
26	uskuteční	VERB	15	acl:relcl
27	.	PUNCT	3	punct