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:
Naopak v největším pražském obvodě, v Praze 4, chybělo ještě včera z přibližně sedmnácti set učitelů téměř sto, mezi nimi češtináři, matematikáři a fyzikáři.
Postion	Tokenization
1	Naopak
2	v
3	největším
4	pražském
5	obvodě
6	,
7	v
8	Praze
9	4
10	,
11	chybělo
12	ještě
13	včera
14	z
15	přibližně
16	sedmnácti
17	set
18	učitelů
19	téměř
20	sto
21	,
22	mezi
23	nimi
24	češtináři
25	,
26	matematikáři
27	a
28	fyzikáři
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	11	advmod
2	v	ADP	5	case
3	největším	ADJ	5	amod
4	pražském	ADJ	5	amod
5	obvodě	NOUN	11	obl
6	,	PUNCT	8	punct
7	v	ADP	8	case
8	Praze	PROPN	5	appos
9	4	NUM	8	nummod
10	,	PUNCT	8	punct
11	chybělo	VERB	0	root
12	ještě	ADV	13	advmod:emph
13	včera	ADV	11	advmod
14	z	ADP	17	case
15	přibližně	ADV	17	advmod:emph
16	sedmnácti	NUM	17	nummod
17	set	NOUN	20	nmod
18	učitelů	NOUN	17	nmod
19	téměř	ADV	20	advmod:emph
20	sto	NOUN	11	nsubj
21	,	PUNCT	11	punct
22	mezi	ADP	23	case
23	nimi	PRON	11	dep
24	češtináři	NOUN	11	dep
25	,	PUNCT	26	punct
26	matematikáři	NOUN	24	conj
27	a	CCONJ	28	cc
28	fyzikáři	NOUN	24	conj
29	.	PUNCT	11	punct