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:
Podle Žáka je kupní smlouva o prodeji budovy společnosti Themos podána u katastrálního úřadu Praha město, její vklad však byl úřadem zastaven kvůli soudnímu napadení vlastnictví.
Postion	Tokenization
1	Podle
2	Žáka
3	je
4	kupní
5	smlouva
6	o
7	prodeji
8	budovy
9	společnosti
10	Themos
11	podána
12	u
13	katastrálního
14	úřadu
15	Praha
16	město
17	,
18	její
19	vklad
20	však
21	byl
22	úřadem
23	zastaven
24	kvůli
25	soudnímu
26	napadení
27	vlastnictví
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Žáka	PROPN	11	obl
3	je	AUX	11	cop
4	kupní	ADJ	5	amod
5	smlouva	NOUN	11	nsubj
6	o	ADP	7	case
7	prodeji	NOUN	5	nmod
8	budovy	NOUN	7	nmod
9	společnosti	NOUN	8	nmod
10	Themos	PROPN	9	nmod
11	podána	ADJ	0	root
12	u	ADP	14	case
13	katastrálního	ADJ	14	amod
14	úřadu	NOUN	11	obl
15	Praha	PROPN	14	nmod
16	město	NOUN	15	nmod
17	,	PUNCT	23	punct
18	její	DET	19	det
19	vklad	NOUN	23	nsubj:pass
20	však	CCONJ	23	cc
21	byl	AUX	23	aux:pass
22	úřadem	NOUN	23	obl:arg
23	zastaven	ADJ	11	conj
24	kvůli	ADP	26	case
25	soudnímu	ADJ	26	amod
26	napadení	NOUN	23	obl
27	vlastnictví	NOUN	26	nmod
28	.	PUNCT	11	punct