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:
Zdroje z Jospinova blízkého okolí včera oznámily, že do čela řídícího výboru prezidentské kandidatury tohoto politika se postaví bývalý předseda Evropské komise J. Delors.
Postion	Tokenization
1	Zdroje
2	z
3	Jospinova
4	blízkého
5	okolí
6	včera
7	oznámily
8	,
9	že
10	do
11	čela
12	řídícího
13	výboru
14	prezidentské
15	kandidatury
16	tohoto
17	politika
18	se
19	postaví
20	bývalý
21	předseda
22	Evropské
23	komise
24	J
25	.
26	Delors
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdroje	NOUN	7	nsubj
2	z	ADP	5	case
3	Jospinova	ADJ	5	amod
4	blízkého	ADJ	5	amod
5	okolí	NOUN	1	nmod
6	včera	ADV	7	advmod
7	oznámily	VERB	0	root
8	,	PUNCT	19	punct
9	že	SCONJ	19	mark
10	do	ADP	11	case
11	čela	NOUN	19	obl
12	řídícího	ADJ	13	amod
13	výboru	NOUN	11	nmod
14	prezidentské	ADJ	15	amod
15	kandidatury	NOUN	13	nmod
16	tohoto	DET	17	det
17	politika	NOUN	15	nmod
18	se	PRON	19	expl:pv
19	postaví	VERB	7	ccomp
20	bývalý	ADJ	21	amod
21	předseda	NOUN	19	nsubj
22	Evropské	ADJ	23	amod
23	komise	NOUN	21	nmod
24	J	PROPN	21	flat
25	.	PUNCT	24	punct
26	Delors	PROPN	21	flat
27	.	PUNCT	7	punct