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:
Škodu za více než milión korun způsobili akciové společnosti Plzeňský Prazdroj dva muži, kteří si z objektu společnosti odváželi různé měděné díly z varných nádob.
Postion	Tokenization
1	Škodu
2	za
3	více
4	než
5	milión
6	korun
7	způsobili
8	akciové
9	společnosti
10	Plzeňský
11	Prazdroj
12	dva
13	muži
14	,
15	kteří
16	si
17	z
18	objektu
19	společnosti
20	odváželi
21	různé
22	měděné
23	díly
24	z
25	varných
26	nádob
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Škodu	NOUN	7	obj
2	za	ADP	3	case
3	více	ADV	1	advmod
4	než	SCONJ	5	mark
5	milión	NOUN	3	obl
6	korun	NOUN	3	nmod
7	způsobili	VERB	0	root
8	akciové	ADJ	9	amod
9	společnosti	NOUN	7	obl:arg
10	Plzeňský	ADJ	11	amod
11	Prazdroj	NOUN	9	nmod
12	dva	NUM	13	nummod
13	muži	NOUN	7	nsubj
14	,	PUNCT	20	punct
15	kteří	DET	20	nsubj
16	si	PRON	20	obl
17	z	ADP	18	case
18	objektu	NOUN	20	obl
19	společnosti	NOUN	18	nmod
20	odváželi	VERB	13	acl:relcl
21	různé	ADJ	23	amod
22	měděné	ADJ	23	amod
23	díly	NOUN	20	obj
24	z	ADP	26	case
25	varných	ADJ	26	amod
26	nádob	NOUN	23	nmod
27	.	PUNCT	7	punct