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:
Do zbývající části budovy se do týdne nastěhuje ještě 24 mentálně postižených dětí a v nejvyšším patře najdou zázemí v 13 garsonkách osamělé matky s dětmi.
Postion	Tokenization
1	Do
2	zbývající
3	části
4	budovy
5	se
6	do
7	týdne
8	nastěhuje
9	ještě
10	24
11	mentálně
12	postižených
13	dětí
14	a
15	v
16	nejvyšším
17	patře
18	najdou
19	zázemí
20	v
21	13
22	garsonkách
23	osamělé
24	matky
25	s
26	dětmi
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	3	case
2	zbývající	ADJ	3	amod
3	části	NOUN	8	obl
4	budovy	NOUN	3	nmod
5	se	PRON	8	expl:pv
6	do	ADP	7	case
7	týdne	NOUN	8	obl
8	nastěhuje	VERB	0	root
9	ještě	ADV	10	advmod:emph
10	24	NUM	13	nummod:gov
11	mentálně	ADV	12	advmod
12	postižených	ADJ	13	amod
13	dětí	NOUN	8	nsubj
14	a	CCONJ	18	cc
15	v	ADP	17	case
16	nejvyšším	ADJ	17	amod
17	patře	NOUN	18	obl
18	najdou	VERB	8	conj
19	zázemí	NOUN	18	obj
20	v	ADP	22	case
21	13	NUM	22	nummod
22	garsonkách	NOUN	18	obl
23	osamělé	ADJ	24	amod
24	matky	NOUN	18	nsubj
25	s	ADP	26	case
26	dětmi	NOUN	24	nmod
27	.	PUNCT	8	punct