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 Východočeská energetika (dříve státní podnik VČE) vloni nakoupila od Českých energetických závodů téměř pět miliard kilowatthodin a dodala je 670 tisícům odběratelů.
Postion	Tokenization
1	Akciová
2	společnost
3	Východočeská
4	energetika
5	(
6	dříve
7	státní
8	podnik
9	VČE
10	)
11	vloni
12	nakoupila
13	od
14	Českých
15	energetických
16	závodů
17	téměř
18	pět
19	miliard
20	kilowatthodin
21	a
22	dodala
23	je
24	670
25	tisícům
26	odběratelů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Akciová	ADJ	2	amod
2	společnost	NOUN	12	nsubj
3	Východočeská	ADJ	4	amod
4	energetika	NOUN	2	nmod
5	(	PUNCT	2	punct
6	dříve	ADV	2	dep
7	státní	ADJ	8	amod
8	podnik	NOUN	2	dep
9	VČE	PROPN	8	nmod
10	)	PUNCT	2	punct
11	vloni	ADV	12	advmod
12	nakoupila	VERB	0	root
13	od	ADP	16	case
14	Českých	ADJ	16	amod
15	energetických	ADJ	16	amod
16	závodů	NOUN	12	obl:arg
17	téměř	ADV	18	advmod:emph
18	pět	NUM	19	nummod:gov
19	miliard	NOUN	12	obj
20	kilowatthodin	NOUN	19	nmod
21	a	CCONJ	22	cc
22	dodala	VERB	12	conj
23	je	PRON	22	obj
24	670	NUM	25	nummod
25	tisícům	NOUN	22	obl:arg
26	odběratelů	NOUN	25	nmod
27	.	PUNCT	12	punct