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:
"Pokud rada posuzovala projekt, s nímž byl někdo z jejích členů svázán, z hlasování byl samozřejmě podle statutu vyloučen," uvedla Jílková.
Postion	Tokenization
1	"
2	Pokud
3	rada
4	posuzovala
5	projekt
6	,
7	s
8	nímž
9	byl
10	někdo
11	z
12	jejích
13	členů
14	svázán
15	,
16	z
17	hlasování
18	byl
19	samozřejmě
20	podle
21	statutu
22	vyloučen
23	,
24	"
25	uvedla
26	Jílková
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	22	punct
2	Pokud	SCONJ	4	mark
3	rada	NOUN	4	nsubj
4	posuzovala	VERB	22	advcl
5	projekt	NOUN	4	obj
6	,	PUNCT	14	punct
7	s	ADP	8	case
8	nímž	PRON	14	obl:arg
9	byl	AUX	14	cop
10	někdo	PRON	14	nsubj
11	z	ADP	13	case
12	jejích	DET	13	det
13	členů	NOUN	10	nmod
14	svázán	ADJ	5	acl:relcl
15	,	PUNCT	4	punct
16	z	ADP	17	case
17	hlasování	NOUN	22	obl
18	byl	AUX	22	cop
19	samozřejmě	ADV	22	advmod
20	podle	ADP	21	case
21	statutu	NOUN	22	obl
22	vyloučen	ADJ	25	ccomp
23	,	PUNCT	22	punct
24	"	PUNCT	22	punct
25	uvedla	VERB	0	root
26	Jílková	PROPN	25	nsubj
27	.	PUNCT	25	punct