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:
Přes 20 procent veškeré obytné plochy v Moskvě zabírají různé vládní instituce (vědecké ústavy, instituty, školy, nemocnice apod. nejsou v tomto údaji zahrnuty).
Postion	Tokenization
1	Přes
2	20
3	procent
4	veškeré
5	obytné
6	plochy
7	v
8	Moskvě
9	zabírají
10	různé
11	vládní
12	instituce
13	(
14	vědecké
15	ústavy
16	,
17	instituty
18	,
19	školy
20	,
21	nemocnice
22	apod
23	.
24	nejsou
25	v
26	tomto
27	údaji
28	zahrnuty
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Přes	ADP	3	case
2	20	NUM	3	nummod:gov
3	procent	NOUN	9	obl:arg
4	veškeré	PRON	6	nmod
5	obytné	ADJ	6	amod
6	plochy	NOUN	3	nmod
7	v	ADP	8	case
8	Moskvě	PROPN	6	nmod
9	zabírají	VERB	0	root
10	různé	ADJ	12	amod
11	vládní	ADJ	12	amod
12	instituce	NOUN	9	nsubj
13	(	PUNCT	28	punct
14	vědecké	ADJ	15	amod
15	ústavy	NOUN	28	nsubj:pass
16	,	PUNCT	17	punct
17	instituty	NOUN	15	conj
18	,	PUNCT	19	punct
19	školy	NOUN	15	conj
20	,	PUNCT	21	punct
21	nemocnice	NOUN	15	conj
22	apod	ADV	21	cc
23	.	PUNCT	15	punct
24	nejsou	AUX	28	aux:pass
25	v	ADP	27	case
26	tomto	DET	27	det
27	údaji	NOUN	28	obl
28	zahrnuty	ADJ	9	parataxis
29	)	PUNCT	28	punct
30	.	PUNCT	9	punct