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:
Olympijský vítěz v desetiboji Robert Změlík se v minulých dnech nastěhoval se svou přítelkyní Andreou Sollárovou do nového bytu na sídlišti v Praze-Řepích.
Postion	Tokenization
1	Olympijský
2	vítěz
3	v
4	desetiboji
5	Robert
6	Změlík
7	se
8	v
9	minulých
10	dnech
11	nastěhoval
12	se
13	svou
14	přítelkyní
15	Andreou
16	Sollárovou
17	do
18	nového
19	bytu
20	na
21	sídlišti
22	v
23	Praze
24	-
25	Řepích
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Olympijský	ADJ	2	amod
2	vítěz	NOUN	11	nsubj
3	v	ADP	4	case
4	desetiboji	NOUN	2	nmod
5	Robert	PROPN	2	flat
6	Změlík	PROPN	2	flat
7	se	PRON	11	expl:pv
8	v	ADP	10	case
9	minulých	ADJ	10	amod
10	dnech	NOUN	11	obl
11	nastěhoval	VERB	0	root
12	se	ADP	14	case
13	svou	DET	14	det
14	přítelkyní	NOUN	11	obl
15	Andreou	PROPN	14	flat
16	Sollárovou	PROPN	14	flat
17	do	ADP	19	case
18	nového	ADJ	19	amod
19	bytu	NOUN	11	obl
20	na	ADP	21	case
21	sídlišti	NOUN	19	nmod
22	v	ADP	23	case
23	Praze	PROPN	21	nmod
24	-	PUNCT	25	punct
25	Řepích	PROPN	23	nmod
26	.	PUNCT	11	punct