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:
Volvo má dosud 20 procent akcií francouzského partnera, ačkoli původně plánovaná fúze obou firem na podzim loňského roku ztroskotala pro nesouhlas akcionářů švédského koncernu s touto transakcí.
Postion	Tokenization
1	Volvo
2	má
3	dosud
4	20
5	procent
6	akcií
7	francouzského
8	partnera
9	,
10	ačkoli
11	původně
12	plánovaná
13	fúze
14	obou
15	firem
16	na
17	podzim
18	loňského
19	roku
20	ztroskotala
21	pro
22	nesouhlas
23	akcionářů
24	švédského
25	koncernu
26	s
27	touto
28	transakcí
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Volvo	PROPN	2	nsubj
2	má	VERB	0	root
3	dosud	ADV	2	advmod
4	20	NUM	5	nummod:gov
5	procent	NOUN	2	obj
6	akcií	NOUN	5	nmod
7	francouzského	ADJ	8	amod
8	partnera	NOUN	6	nmod
9	,	PUNCT	20	punct
10	ačkoli	SCONJ	20	mark
11	původně	ADV	12	advmod
12	plánovaná	ADJ	13	amod
13	fúze	NOUN	20	nsubj
14	obou	NUM	15	nummod
15	firem	NOUN	13	nmod
16	na	ADP	17	case
17	podzim	NOUN	13	nmod
18	loňského	ADJ	19	amod
19	roku	NOUN	17	nmod
20	ztroskotala	VERB	2	advcl
21	pro	ADP	22	case
22	nesouhlas	NOUN	20	obl
23	akcionářů	NOUN	22	nmod
24	švédského	ADJ	25	amod
25	koncernu	NOUN	23	nmod
26	s	ADP	28	case
27	touto	DET	28	det
28	transakcí	NOUN	22	nmod
29	.	PUNCT	2	punct