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:
Bude zvelebovat Potsdamer Platz, nynější planinu, kterou protínala Zeď a která prý byla ve 30. letech nejrušnějším místem Evropy.
Postion	Tokenization
1	Bude
2	zvelebovat
3	Potsdamer
4	Platz
5	,
6	nynější
7	planinu
8	,
9	kterou
10	protínala
11	Zeď
12	a
13	která
14	prý
15	byla
16	ve
17	30
18	.
19	letech
20	nejrušnějším
21	místem
22	Evropy
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Bude	AUX	2	aux
2	zvelebovat	VERB	0	root
3	Potsdamer	ADJ	2	obj
4	Platz	PROPN	3	flat:foreign
5	,	PUNCT	7	punct
6	nynější	ADJ	7	amod
7	planinu	NOUN	3	appos
8	,	PUNCT	10	punct
9	kterou	DET	10	obj
10	protínala	VERB	7	acl:relcl
11	Zeď	NOUN	10	nsubj
12	a	CCONJ	21	cc
13	která	DET	21	nsubj
14	prý	PART	21	advmod
15	byla	AUX	21	cop
16	ve	ADP	19	case
17	30	NUM	19	nummod
18	.	PUNCT	17	punct
19	letech	NOUN	21	obl
20	nejrušnějším	ADJ	21	amod
21	místem	NOUN	10	conj
22	Evropy	PROPN	21	nmod
23	.	PUNCT	2	punct