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: Vývoz aut Nissan se v červenci zvýšil o 13.4 procenta na 63981 vozů, když v červnu automobilka zaznamenala svůj první růst exportu po 23 měsících.
Position	Tokenization	UPOS	Head	Deprel
1	Vývoz	NOUN	7	nsubj
2	aut	NOUN	1	nmod
3	Nissan	PROPN	2	nmod
4	se	PRON	7	expl:pv
5	v	ADP	6	case
6	červenci	NOUN	7	obl
7	zvýšil	VERB	0	root
8	o	ADP	10	case
9	13.4	NUM	10	nummod:gov
10	procenta	NOUN	7	obl
11	na	ADP	13	case
12	63981	NUM	13	nummod:gov
13	vozů	NOUN	7	obl:arg
14	,	PUNCT	19	punct
15	když	SCONJ	19	mark
16	v	ADP	17	case
17	červnu	NOUN	19	obl
18	automobilka	NOUN	19	nsubj
19	zaznamenala	VERB	7	advcl
20	svůj	DET	22	det
21	první	ADJ	22	amod
22	růst	NOUN	19	obj
23	exportu	NOUN	22	nmod
24	po	ADP	26	case
25	23	NUM	26	nummod
26	měsících	NOUN	21	obl
27	.	PUNCT	7	punct