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: Celkový odbyt německého automobilového koncernu Volkswagen včetně podílu mladoboleslavské Škodovky se za prvních osm měsíců letošního roku zvýšil proti stejnému období 1991 o 2.8 procenta - na 2.38 miliónu vozidel.
Position	Tokenization	UPOS	Head	Deprel
1	Celkový	ADJ	2	amod
2	odbyt	NOUN	18	nsubj:pass
3	německého	ADJ	5	amod
4	automobilového	ADJ	5	amod
5	koncernu	NOUN	2	nmod
6	Volkswagen	PROPN	5	nmod
7	včetně	ADP	8	case
8	podílu	NOUN	2	nmod
9	mladoboleslavské	ADJ	10	amod
10	Škodovky	NOUN	8	nmod
11	se	PRON	18	expl:pass
12	za	ADP	15	case
13	prvních	ADJ	15	amod
14	osm	NUM	15	obl
15	měsíců	NOUN	18	nmod
16	letošního	ADJ	17	amod
17	roku	NOUN	15	nmod
18	zvýšil	VERB	0	root
19	proti	ADP	21	case
20	stejnému	ADJ	21	amod
21	období	NOUN	18	obl
22	1991	NUM	21	nummod
23	o	ADP	25	case
24	2.8	NUM	25	nummod:gov
25	procenta	NOUN	18	obl:arg
26	-	PUNCT	29	punct
27	na	ADP	29	case
28	2.38	NUM	29	nummod:gov
29	miliónu	NOUN	25	appos
30	vozidel	NOUN	29	nmod
31	.	PUNCT	18	punct