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: Ten uvedl, že česká vláda výstavbu jaderné elektrárny Temelín nezpochybňuje, přičemž situace, kdy Temelín bude přestavěn na elektrárnu se špičkovými parametry, by podle něj měla využít Škoda Plzeň.
Position	Tokenization	UPOS	Head	Deprel
1	Ten	DET	2	nsubj
2	uvedl	VERB	0	root
3	,	PUNCT	11	punct
4	že	SCONJ	11	mark
5	česká	ADJ	6	amod
6	vláda	NOUN	11	nsubj
7	výstavbu	NOUN	11	obj
8	jaderné	ADJ	9	amod
9	elektrárny	NOUN	7	nmod
10	Temelín	PROPN	9	nmod
11	nezpochybňuje	VERB	2	ccomp
12	,	PUNCT	29	punct
13	přičemž	ADV	29	advmod
14	situace	NOUN	30	obl:arg
15	,	PUNCT	19	punct
16	kdy	ADV	19	advmod
17	Temelín	PROPN	19	nsubj:pass
18	bude	AUX	19	aux:pass
19	přestavěn	ADJ	14	amod
20	na	ADP	21	case
21	elektrárnu	NOUN	19	obl
22	se	ADP	24	case
23	špičkovými	ADJ	24	amod
24	parametry	NOUN	21	nmod
25	,	PUNCT	19	punct
26	by	AUX	29	aux
27	podle	ADP	28	case
28	něj	PRON	29	obl
29	měla	VERB	11	conj
30	využít	VERB	29	xcomp
31	Škoda	PROPN	29	nsubj
32	Plzeň	PROPN	31	nmod
33	.	PUNCT	2	punct