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:
Akciová společnost Karlovarský porcelán úspěšně zaútočila na světovou špičku na tradičním jarním frankfurtském veletrhu v Německu "AMBIENTE - prostřený stůl".
Postion	Tokenization
1	Akciová
2	společnost
3	Karlovarský
4	porcelán
5	úspěšně
6	zaútočila
7	na
8	světovou
9	špičku
10	na
11	tradičním
12	jarním
13	frankfurtském
14	veletrhu
15	v
16	Německu
17	"
18	AMBIENTE
19	-
20	prostřený
21	stůl
22	"
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Akciová	ADJ	2	amod
2	společnost	NOUN	4	nmod
3	Karlovarský	ADJ	4	amod
4	porcelán	NOUN	6	nsubj
5	úspěšně	ADV	6	advmod
6	zaútočila	VERB	0	root
7	na	ADP	9	case
8	světovou	ADJ	9	amod
9	špičku	NOUN	6	obl:arg
10	na	ADP	14	case
11	tradičním	ADJ	14	amod
12	jarním	ADJ	14	amod
13	frankfurtském	ADJ	14	amod
14	veletrhu	NOUN	6	obl
15	v	ADP	16	case
16	Německu	PROPN	14	nmod
17	"	PUNCT	18	punct
18	AMBIENTE	PROPN	14	nmod
19	-	PUNCT	21	punct
20	prostřený	ADJ	21	amod
21	stůl	NOUN	18	appos
22	"	PUNCT	21	punct
23	.	PUNCT	6	punct