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:
Plochu pozemku, vzdáleného několik minut chůze od ústředí Deutsche Bank ve Frankfurtu, vykazoval Schneider jako 20000 čtverečních metrů (ve skutečnosti sotva 8000).
Postion	Tokenization
1	Plochu
2	pozemku
3	,
4	vzdáleného
5	několik
6	minut
7	chůze
8	od
9	ústředí
10	Deutsche
11	Bank
12	ve
13	Frankfurtu
14	,
15	vykazoval
16	Schneider
17	jako
18	20000
19	čtverečních
20	metrů
21	(
22	ve
23	skutečnosti
24	sotva
25	8000
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Plochu	NOUN	15	obj
2	pozemku	NOUN	1	nmod
3	,	PUNCT	4	punct
4	vzdáleného	ADJ	2	amod
5	několik	DET	6	det:numgov
6	minut	NOUN	4	obl
7	chůze	NOUN	6	nmod
8	od	ADP	9	case
9	ústředí	NOUN	7	nmod
10	Deutsche	ADJ	11	amod
11	Bank	NOUN	9	nmod
12	ve	ADP	13	case
13	Frankfurtu	PROPN	11	nmod
14	,	PUNCT	4	punct
15	vykazoval	VERB	0	root
16	Schneider	PROPN	15	nsubj
17	jako	SCONJ	18	mark
18	20000	NUM	20	nummod:gov
19	čtverečních	ADJ	20	amod
20	metrů	NOUN	1	xcomp
21	(	PUNCT	15	punct
22	ve	ADP	23	case
23	skutečnosti	NOUN	15	dep
24	sotva	ADV	25	advmod:emph
25	8000	NUM	15	dep
26	)	PUNCT	15	punct
27	.	PUNCT	15	punct