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 text: Domácí produkce Toyoty v červenci v meziročním srovnání poklesla o 3.3 procenta na 313813 vozů, když v předešlém měsíci automobilka zaznamenala svůj první nárůst po 13 měsících.
Position	Tokenization	UPOS	Head	Deprel
1	Domácí	ADJ	2	amod
2	produkce	NOUN	9	nsubj
3	Toyoty	PROPN	2	nmod
4	v	ADP	5	case
5	červenci	NOUN	2	nmod
6	v	ADP	8	case
7	meziročním	ADJ	8	amod
8	srovnání	NOUN	9	obl
9	poklesla	VERB	0	root
10	o	ADP	12	case
11	3.3	NUM	12	nummod:gov
12	procenta	NOUN	9	obl
13	na	ADP	15	case
14	313813	NUM	15	nummod:gov
15	vozů	NOUN	9	obl:arg
16	,	PUNCT	22	punct
17	když	SCONJ	22	mark
18	v	ADP	20	case
19	předešlém	ADJ	20	amod
20	měsíci	NOUN	22	obl
21	automobilka	NOUN	22	nsubj
22	zaznamenala	VERB	9	advcl
23	svůj	DET	25	det
24	první	ADJ	25	amod
25	nárůst	NOUN	22	obj
26	po	ADP	28	case
27	13	NUM	28	nummod
28	měsících	NOUN	25	nmod
29	.	PUNCT	9	punct