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:
Zpochybnila též tvrzení předsedy brněnské organizace HSMS V. Dočkala, že asi polovina místních organizací z této strany odešla, většinou právě do MNS či HSMS.
Postion	Tokenization
1	Zpochybnila
2	též
3	tvrzení
4	předsedy
5	brněnské
6	organizace
7	HSMS
8	V
9	.
10	Dočkala
11	,
12	že
13	asi
14	polovina
15	místních
16	organizací
17	z
18	této
19	strany
20	odešla
21	,
22	většinou
23	právě
24	do
25	MNS
26	či
27	HSMS
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zpochybnila	VERB	0	root
2	též	ADV	1	advmod
3	tvrzení	NOUN	1	obj
4	předsedy	NOUN	3	nmod
5	brněnské	ADJ	6	amod
6	organizace	NOUN	4	nmod
7	HSMS	PROPN	6	nmod
8	V	PROPN	4	flat
9	.	PUNCT	8	punct
10	Dočkala	PROPN	4	flat
11	,	PUNCT	20	punct
12	že	SCONJ	20	mark
13	asi	PART	14	advmod:emph
14	polovina	NOUN	20	nsubj
15	místních	ADJ	16	amod
16	organizací	NOUN	14	nmod
17	z	ADP	19	case
18	této	DET	19	det
19	strany	NOUN	20	obl
20	odešla	VERB	3	acl
21	,	PUNCT	22	punct
22	většinou	ADV	20	advmod
23	právě	ADV	25	advmod:emph
24	do	ADP	25	case
25	MNS	PROPN	20	obl
26	či	CCONJ	27	cc
27	HSMS	PROPN	25	conj
28	.	PUNCT	1	punct