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:
Učitelé měli za úkol působit i jinde, starali se o tělesnou výchovu, občanskou nauku, o speciální přednášky z oblasti literatury, hudby, dějepisu.
Postion	Tokenization
1	Učitelé
2	měli
3	za
4	úkol
5	působit
6	i
7	jinde
8	,
9	starali
10	se
11	o
12	tělesnou
13	výchovu
14	,
15	občanskou
16	nauku
17	,
18	o
19	speciální
20	přednášky
21	z
22	oblasti
23	literatury
24	,
25	hudby
26	,
27	dějepisu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Učitelé	NOUN	2	nsubj
2	měli	VERB	0	root
3	za	ADP	4	case
4	úkol	NOUN	2	obl:arg
5	působit	VERB	2	xcomp
6	i	CCONJ	7	advmod:emph
7	jinde	ADV	2	advmod
8	,	PUNCT	9	punct
9	starali	VERB	2	conj
10	se	PRON	9	expl:pv
11	o	ADP	13	case
12	tělesnou	ADJ	13	amod
13	výchovu	NOUN	9	obl:arg
14	,	PUNCT	16	punct
15	občanskou	ADJ	16	amod
16	nauku	NOUN	13	conj
17	,	PUNCT	20	punct
18	o	ADP	20	case
19	speciální	ADJ	20	amod
20	přednášky	NOUN	13	conj
21	z	ADP	22	case
22	oblasti	NOUN	20	nmod
23	literatury	NOUN	22	nmod
24	,	PUNCT	25	punct
25	hudby	NOUN	23	conj
26	,	PUNCT	27	punct
27	dějepisu	NOUN	23	conj
28	.	PUNCT	2	punct