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:
Více než půlmiliardovou investici státu do nových parlamentních budov provázejí od počátku, zejména ve světle opuštěného paláce bývalého FS na Vinohradech, značné pochybnosti veřejnosti.
Postion	Tokenization
1	Více
2	než
3	půlmiliardovou
4	investici
5	státu
6	do
7	nových
8	parlamentních
9	budov
10	provázejí
11	od
12	počátku
13	,
14	zejména
15	ve
16	světle
17	opuštěného
18	paláce
19	bývalého
20	FS
21	na
22	Vinohradech
23	,
24	značné
25	pochybnosti
26	veřejnosti
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Více	ADV	3	advmod
2	než	SCONJ	1	fixed
3	půlmiliardovou	ADJ	4	obl
4	investici	NOUN	10	obj
5	státu	NOUN	4	nmod
6	do	ADP	9	case
7	nových	ADJ	9	amod
8	parlamentních	ADJ	9	amod
9	budov	NOUN	4	nmod
10	provázejí	VERB	0	root
11	od	ADP	12	case
12	počátku	NOUN	10	obl
13	,	PUNCT	18	punct
14	zejména	ADV	18	advmod:emph
15	ve	ADP	18	case
16	světle	NOUN	15	fixed
17	opuštěného	ADJ	18	amod
18	paláce	NOUN	10	obl
19	bývalého	ADJ	20	amod
20	FS	PROPN	18	nmod
21	na	ADP	22	case
22	Vinohradech	PROPN	20	nmod
23	,	PUNCT	18	punct
24	značné	ADJ	25	amod
25	pochybnosti	NOUN	10	nsubj
26	veřejnosti	NOUN	25	nmod
27	.	PUNCT	10	punct