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:
Podle sdělení tiskového oddělení plzeňské Škodovky jsou reálnými termíny pro uzavření společných podniků s německou firmou Siemens 1. říjen u Škoda Energo a zhruba polovina listopadu u Škoda Transport.
Postion	Tokenization
1	Podle
2	sdělení
3	tiskového
4	oddělení
5	plzeňské
6	Škodovky
7	jsou
8	reálnými
9	termíny
10	pro
11	uzavření
12	společných
13	podniků
14	s
15	německou
16	firmou
17	Siemens
18	1
19	.
20	říjen
21	u
22	Škoda
23	Energo
24	a
25	zhruba
26	polovina
27	listopadu
28	u
29	Škoda
30	Transport
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	sdělení	NOUN	9	obl
3	tiskového	ADJ	4	amod
4	oddělení	NOUN	2	nmod
5	plzeňské	ADJ	6	amod
6	Škodovky	NOUN	4	nmod
7	jsou	AUX	9	cop
8	reálnými	ADJ	9	amod
9	termíny	NOUN	0	root
10	pro	ADP	11	case
11	uzavření	NOUN	9	nmod
12	společných	ADJ	13	amod
13	podniků	NOUN	11	nmod
14	s	ADP	16	case
15	německou	ADJ	16	amod
16	firmou	NOUN	11	nmod
17	Siemens	PROPN	16	nmod
18	1	NUM	20	nummod
19	.	PUNCT	18	punct
20	říjen	NOUN	9	nsubj
21	u	ADP	22	case
22	Škoda	PROPN	20	dep
23	Energo	PROPN	22	nmod
24	a	CCONJ	26	cc
25	zhruba	ADV	26	advmod:emph
26	polovina	NOUN	20	conj
27	listopadu	NOUN	26	nmod
28	u	ADP	29	case
29	Škoda	PROPN	26	dep
30	Transport	NOUN	29	nmod
31	.	PUNCT	9	punct