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:
Rudolf Hanus zároveň komentoval některá tvrzení, která obviňují vedení Škody Plzeň ze záměru přivést podnik do krizové situace, a snížit tak jeho tržní hodnotu.
Postion	Tokenization
1	Rudolf
2	Hanus
3	zároveň
4	komentoval
5	některá
6	tvrzení
7	,
8	která
9	obviňují
10	vedení
11	Škody
12	Plzeň
13	ze
14	záměru
15	přivést
16	podnik
17	do
18	krizové
19	situace
20	,
21	a
22	snížit
23	tak
24	jeho
25	tržní
26	hodnotu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Rudolf	PROPN	4	nsubj
2	Hanus	PROPN	1	flat
3	zároveň	ADV	4	advmod
4	komentoval	VERB	0	root
5	některá	DET	6	det
6	tvrzení	NOUN	4	obj
7	,	PUNCT	9	punct
8	která	DET	9	nsubj
9	obviňují	VERB	6	acl:relcl
10	vedení	NOUN	9	obj
11	Škody	PROPN	10	nmod
12	Plzeň	PROPN	11	nmod
13	ze	ADP	14	case
14	záměru	NOUN	9	obl:arg
15	přivést	VERB	14	acl
16	podnik	NOUN	15	obj
17	do	ADP	19	case
18	krizové	ADJ	19	amod
19	situace	NOUN	15	obl
20	,	PUNCT	22	punct
21	a	CCONJ	22	cc
22	snížit	VERB	15	conj
23	tak	ADV	22	advmod
24	jeho	DET	26	det
25	tržní	ADJ	26	amod
26	hodnotu	NOUN	22	obj
27	.	PUNCT	4	punct