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: Vím ale, že do budovy FS byly investovány značné prostředky, v Praze se dále musí uvolnit jiné budovy po federálních ministerstvech a různých úřadech a celostátních institucích, takže by ČNR měla přesídlit do budovy FS.
Position	Tokenization	UPOS	Head	Deprel
1	Vím	VERB	0	root
2	ale	CCONJ	1	cc
3	,	PUNCT	9	punct
4	že	SCONJ	9	mark
5	do	ADP	6	case
6	budovy	NOUN	9	obl
7	FS	PROPN	6	nmod
8	byly	AUX	9	aux:pass
9	investovány	ADJ	1	obj
10	značné	ADJ	11	amod
11	prostředky	NOUN	9	nsubj:pass
12	,	PUNCT	17	punct
13	v	ADP	14	case
14	Praze	PROPN	17	obl
15	se	PRON	17	expl:pass
16	dále	ADV	17	advmod
17	musí	VERB	9	conj
18	uvolnit	VERB	17	xcomp
19	jiné	ADJ	20	amod
20	budovy	NOUN	17	nsubj:pass
21	po	ADP	23	case
22	federálních	ADJ	23	amod
23	ministerstvech	NOUN	20	nmod
24	a	CCONJ	26	cc
25	různých	ADJ	26	amod
26	úřadech	NOUN	23	conj
27	a	CCONJ	29	cc
28	celostátních	ADJ	29	amod
29	institucích	NOUN	23	conj
30	,	PUNCT	34	punct
31	takže	SCONJ	34	mark
32	by	AUX	34	aux
33	ČNR	PROPN	34	nsubj
34	měla	VERB	9	advcl
35	přesídlit	VERB	34	xcomp
36	do	ADP	37	case
37	budovy	NOUN	35	obl
38	FS	PROPN	37	nmod
39	.	PUNCT	1	punct