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:
Po roční rekonstrukci byla včera za přítomnosti starosty Prahy 3 Michala Borse v Milíčově domě otevřena takzvaná Speciální mateřská školka pro zdravé i handicapované děti.
Postion	Tokenization
1	Po
2	roční
3	rekonstrukci
4	byla
5	včera
6	za
7	přítomnosti
8	starosty
9	Prahy
10	3
11	Michala
12	Borse
13	v
14	Milíčově
15	domě
16	otevřena
17	takzvaná
18	Speciální
19	mateřská
20	školka
21	pro
22	zdravé
23	i
24	handicapované
25	děti
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	roční	ADJ	3	amod
3	rekonstrukci	NOUN	16	obl
4	byla	AUX	16	aux:pass
5	včera	ADV	16	advmod
6	za	ADP	7	case
7	přítomnosti	NOUN	16	obl
8	starosty	NOUN	7	nmod
9	Prahy	PROPN	8	nmod
10	3	NUM	9	nummod
11	Michala	PROPN	8	flat
12	Borse	PROPN	8	flat
13	v	ADP	15	case
14	Milíčově	ADJ	15	amod
15	domě	NOUN	16	obl
16	otevřena	ADJ	0	root
17	takzvaná	ADJ	20	amod
18	Speciální	ADJ	20	amod
19	mateřská	ADJ	20	amod
20	školka	NOUN	16	nsubj:pass
21	pro	ADP	25	case
22	zdravé	ADJ	25	amod
23	i	CCONJ	24	cc
24	handicapované	ADJ	22	conj
25	děti	NOUN	20	nmod
26	.	PUNCT	16	punct