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:
Kdo si troufne vydat (a předtím si zajistit od sponzorů) 15 až 25 miliónů dolarů, které dnes prezidentská kampaň v USA stojí?
Postion	Tokenization
1	Kdo
2	si
3	troufne
4	vydat
5	(
6	a
7	předtím
8	si
9	zajistit
10	od
11	sponzorů
12	)
13	15
14	až
15	25
16	miliónů
17	dolarů
18	,
19	které
20	dnes
21	prezidentská
22	kampaň
23	v
24	USA
25	stojí
26	?
Position	Tokenization	UPOS	Head	Deprel
1	Kdo	PRON	3	nsubj
2	si	PRON	3	expl:pv
3	troufne	VERB	0	root
4	vydat	VERB	3	xcomp
5	(	PUNCT	9	punct
6	a	CCONJ	9	cc
7	předtím	ADV	9	advmod
8	si	PRON	9	obl:arg
9	zajistit	VERB	4	conj
10	od	ADP	11	case
11	sponzorů	NOUN	9	obl
12	)	PUNCT	9	punct
13	15	NUM	16	nummod:gov
14	až	CCONJ	15	cc
15	25	NUM	13	conj
16	miliónů	NOUN	4	obj
17	dolarů	NOUN	16	nmod
18	,	PUNCT	25	punct
19	které	DET	25	obj
20	dnes	ADV	25	advmod
21	prezidentská	ADJ	22	amod
22	kampaň	NOUN	25	nsubj
23	v	ADP	24	case
24	USA	PROPN	22	nmod
25	stojí	VERB	17	acl:relcl
26	?	PUNCT	3	punct