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:
Své závazky splníme, uvedl Klose na otázku, zda Svobodná Evropa zpětně uhradí náklady za provoz této budovy, jak se už dříve ústně zavázala.
Postion	Tokenization
1	Své
2	závazky
3	splníme
4	,
5	uvedl
6	Klose
7	na
8	otázku
9	,
10	zda
11	Svobodná
12	Evropa
13	zpětně
14	uhradí
15	náklady
16	za
17	provoz
18	této
19	budovy
20	,
21	jak
22	se
23	už
24	dříve
25	ústně
26	zavázala
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Své	DET	2	det
2	závazky	NOUN	3	obj
3	splníme	VERB	5	ccomp
4	,	PUNCT	3	punct
5	uvedl	VERB	0	root
6	Klose	PROPN	5	nsubj
7	na	ADP	8	case
8	otázku	NOUN	5	obl
9	,	PUNCT	14	punct
10	zda	SCONJ	14	mark
11	Svobodná	ADJ	12	amod
12	Evropa	PROPN	14	nsubj
13	zpětně	ADV	14	advmod
14	uhradí	VERB	8	acl
15	náklady	NOUN	14	obj
16	za	ADP	17	case
17	provoz	NOUN	15	nmod
18	této	DET	19	det
19	budovy	NOUN	17	nmod
20	,	PUNCT	26	punct
21	jak	SCONJ	26	mark
22	se	PRON	26	expl:pv
23	už	ADV	24	advmod:emph
24	dříve	ADV	26	advmod
25	ústně	ADV	26	advmod
26	zavázala	VERB	14	advcl
27	.	PUNCT	5	punct