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:
Později kritizoval Rabin v rozhlase Japonsko a evropské země za to, že obchodují s Íránem, který označil za hlavní hrozbu pro mír v oblasti Blízkého východu.
Postion	Tokenization
1	Později
2	kritizoval
3	Rabin
4	v
5	rozhlase
6	Japonsko
7	a
8	evropské
9	země
10	za
11	to
12	,
13	že
14	obchodují
15	s
16	Íránem
17	,
18	který
19	označil
20	za
21	hlavní
22	hrozbu
23	pro
24	mír
25	v
26	oblasti
27	Blízkého
28	východu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Později	ADV	2	advmod
2	kritizoval	VERB	0	root
3	Rabin	PROPN	2	nsubj
4	v	ADP	5	case
5	rozhlase	NOUN	2	obl
6	Japonsko	PROPN	2	obj
7	a	CCONJ	9	cc
8	evropské	ADJ	9	amod
9	země	NOUN	6	conj
10	za	ADP	11	case
11	to	DET	2	obl
12	,	PUNCT	14	punct
13	že	SCONJ	14	mark
14	obchodují	VERB	11	acl
15	s	ADP	16	case
16	Íránem	PROPN	14	obl:arg
17	,	PUNCT	19	punct
18	který	DET	19	obj
19	označil	VERB	16	acl:relcl
20	za	ADP	22	case
21	hlavní	ADJ	22	amod
22	hrozbu	NOUN	19	obl:arg
23	pro	ADP	24	case
24	mír	NOUN	22	nmod
25	v	ADP	26	case
26	oblasti	NOUN	24	nmod
27	Blízkého	ADJ	28	amod
28	východu	NOUN	26	nmod
29	.	PUNCT	2	punct