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:
Natočil jsem i jiné reklamy a režíroval jsem velmi zábavný večírek pro firmu OPEL, za což jsem dostal předem dohodnutý honorář, reklamní publikaci a baterku.
Postion	Tokenization
1	Natočil
2	jsem
3	i
4	jiné
5	reklamy
6	a
7	režíroval
8	jsem
9	velmi
10	zábavný
11	večírek
12	pro
13	firmu
14	OPEL
15	,
16	za
17	což
18	jsem
19	dostal
20	předem
21	dohodnutý
22	honorář
23	,
24	reklamní
25	publikaci
26	a
27	baterku
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Natočil	VERB	0	root
2	jsem	AUX	1	aux
3	i	CCONJ	5	advmod:emph
4	jiné	ADJ	5	amod
5	reklamy	NOUN	1	obj
6	a	CCONJ	7	cc
7	režíroval	VERB	1	conj
8	jsem	AUX	7	aux
9	velmi	ADV	10	advmod
10	zábavný	ADJ	11	amod
11	večírek	NOUN	7	obj
12	pro	ADP	13	case
13	firmu	NOUN	11	nmod
14	OPEL	PROPN	13	nmod
15	,	PUNCT	19	punct
16	za	ADP	17	case
17	což	PRON	19	obl:arg
18	jsem	AUX	19	aux
19	dostal	VERB	1	conj
20	předem	ADV	21	advmod
21	dohodnutý	ADJ	22	amod
22	honorář	NOUN	19	obj
23	,	PUNCT	25	punct
24	reklamní	ADJ	25	amod
25	publikaci	NOUN	22	conj
26	a	CCONJ	27	cc
27	baterku	NOUN	22	conj
28	.	PUNCT	1	punct