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:
Proti všem předchozím a následujícím městům má Praha něco málo navíc: nestor izraelské karikatury Ze'ev přidal speciálně jen pro ni několik kreseb, jimiž reagoval na československé události.
Postion	Tokenization
1	Proti
2	všem
3	předchozím
4	a
5	následujícím
6	městům
7	má
8	Praha
9	něco
10	málo
11	navíc
12	:
13	nestor
14	izraelské
15	karikatury
16	Ze'ev
17	přidal
18	speciálně
19	jen
20	pro
21	ni
22	několik
23	kreseb
24	,
25	jimiž
26	reagoval
27	na
28	československé
29	události
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Proti	ADP	6	case
2	všem	DET	6	det
3	předchozím	ADJ	6	amod
4	a	CCONJ	5	cc
5	následujícím	ADJ	3	conj
6	městům	NOUN	7	obl
7	má	VERB	0	root
8	Praha	PROPN	7	nsubj
9	něco	PRON	7	obj
10	málo	NOUN	9	nmod
11	navíc	ADV	10	advmod
12	:	PUNCT	17	punct
13	nestor	NOUN	17	nsubj
14	izraelské	ADJ	15	amod
15	karikatury	NOUN	13	nmod
16	Ze'ev	PROPN	13	flat
17	přidal	VERB	7	conj
18	speciálně	ADV	17	advmod
19	jen	PART	21	advmod:emph
20	pro	ADP	21	case
21	ni	PRON	17	obl
22	několik	DET	23	det:numgov
23	kreseb	NOUN	17	obj
24	,	PUNCT	26	punct
25	jimiž	PRON	26	obl
26	reagoval	VERB	23	acl:relcl
27	na	ADP	29	case
28	československé	ADJ	29	amod
29	události	NOUN	26	obl:arg
30	.	PUNCT	7	punct