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:
VW zvýší do roku 1995 svůj podíl ve Škodě z dnešních 31 procent na 70 procent a během příštích šesti let má investovat asi devět miliard marek.
Postion	Tokenization
1	VW
2	zvýší
3	do
4	roku
5	1995
6	svůj
7	podíl
8	ve
9	Škodě
10	z
11	dnešních
12	31
13	procent
14	na
15	70
16	procent
17	a
18	během
19	příštích
20	šesti
21	let
22	má
23	investovat
24	asi
25	devět
26	miliard
27	marek
28	.
Position	Tokenization	UPOS	Head	Deprel
1	VW	PROPN	2	nsubj
2	zvýší	VERB	0	root
3	do	ADP	4	case
4	roku	NOUN	2	obl
5	1995	NUM	4	nummod
6	svůj	DET	7	det
7	podíl	NOUN	2	obj
8	ve	ADP	9	case
9	Škodě	PROPN	7	nmod
10	z	ADP	13	case
11	dnešních	ADJ	13	amod
12	31	NUM	13	nummod
13	procent	NOUN	2	obl:arg
14	na	ADP	16	case
15	70	NUM	16	nummod:gov
16	procent	NOUN	2	obl:arg
17	a	CCONJ	22	cc
18	během	ADP	21	case
19	příštích	ADJ	21	amod
20	šesti	NUM	21	nummod
21	let	NOUN	22	obl
22	má	VERB	2	conj
23	investovat	VERB	22	xcomp
24	asi	PART	25	advmod:emph
25	devět	NUM	26	nummod:gov
26	miliard	NOUN	23	obj
27	marek	NOUN	26	nmod
28	.	PUNCT	2	punct