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:
"Chceme pouze informovat o tom, co sekta svému nově příchozímu členovi neřekne, protože to není v jejím zájmu," uvedl Z. Vojtíšek.
Postion	Tokenization
1	"
2	Chceme
3	pouze
4	informovat
5	o
6	tom
7	,
8	co
9	sekta
10	svému
11	nově
12	příchozímu
13	členovi
14	neřekne
15	,
16	protože
17	to
18	není
19	v
20	jejím
21	zájmu
22	,
23	"
24	uvedl
25	Z
26	.
27	Vojtíšek
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Chceme	VERB	24	ccomp
3	pouze	ADV	4	advmod:emph
4	informovat	VERB	2	xcomp
5	o	ADP	6	case
6	tom	DET	4	obl:arg
7	,	PUNCT	14	punct
8	co	PRON	14	obj
9	sekta	NOUN	14	nsubj
10	svému	DET	13	det
11	nově	ADV	12	advmod
12	příchozímu	ADJ	13	amod
13	členovi	NOUN	14	obl:arg
14	neřekne	VERB	6	acl:relcl
15	,	PUNCT	18	punct
16	protože	SCONJ	18	mark
17	to	DET	18	nsubj
18	není	VERB	14	advcl
19	v	ADP	21	case
20	jejím	DET	21	det
21	zájmu	NOUN	18	obl
22	,	PUNCT	2	punct
23	"	PUNCT	2	punct
24	uvedl	VERB	0	root
25	Z	PROPN	24	nsubj
26	.	PUNCT	25	punct
27	Vojtíšek	PROPN	25	flat
28	.	PUNCT	24	punct