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:
I read an Article in Time magazine accusing the Iranian Government of being willing to start a nuclear war and I sympathise with the Article.
Postion	Tokenization
1	I
2	read
3	an
4	Article
5	in
6	Time
7	magazine
8	accusing
9	the
10	Iranian
11	Government
12	of
13	being
14	willing
15	to
16	start
17	a
18	nuclear
19	war
20	and
21	I
22	sympathise
23	with
24	the
25	Article
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	read	VERB	0	root
3	an	DET	4	det
4	Article	NOUN	2	obj
5	in	ADP	7	case
6	Time	PROPN	7	compound
7	magazine	PROPN	4	nmod
8	accusing	VERB	4	acl
9	the	DET	11	det
10	Iranian	ADJ	11	amod
11	Government	NOUN	8	obj
12	of	SCONJ	14	mark
13	being	AUX	14	cop
14	willing	ADJ	8	advcl
15	to	PART	16	mark
16	start	VERB	14	xcomp
17	a	DET	19	det
18	nuclear	ADJ	19	amod
19	war	NOUN	16	obj
20	and	CCONJ	22	cc
21	I	PRON	22	nsubj
22	sympathise	VERB	2	conj
23	with	ADP	25	case
24	the	DET	25	det
25	Article	NOUN	22	obl
26	.	PUNCT	2	punct