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:
Suppose, for the sake of discussion, that someone would openly stay in a well-known address in Teheran, hosted by the Iranian Government and financed by it, executing one atrocity after another in Spain or in France, killing hundreds of innocent people, accepting responsibility for the crimes, promising in public TV interviews to do more of the same, while the Government of Iran issues public condemnations of his acts but continues to host him, invite him to official functions and treat him as a great dignitary.
Postion	Tokenization
1	Suppose
2	,
3	for
4	the
5	sake
6	of
7	discussion
8	,
9	that
10	someone
11	would
12	openly
13	stay
14	in
15	a
16	well
17	-
18	known
19	address
20	in
21	Teheran
22	,
23	hosted
24	by
25	the
26	Iranian
27	Government
28	and
29	financed
30	by
31	it
32	,
33	executing
34	one
35	atrocity
36	after
37	another
38	in
39	Spain
40	or
41	in
42	France
43	,
44	killing
45	hundreds
46	of
47	innocent
48	people
49	,
50	accepting
51	responsibility
52	for
53	the
54	crimes
55	,
56	promising
57	in
58	public
59	TV
60	interviews
61	to
62	do
63	more
64	of
65	the
66	same
67	,
68	while
69	the
70	Government
71	of
72	Iran
73	issues
74	public
75	condemnations
76	of
77	his
78	acts
79	but
80	continues
81	to
82	host
83	him
84	,
85	invite
86	him
87	to
88	official
89	functions
90	and
91	treat
92	him
93	as
94	a
95	great
96	dignitary
97	.
Position	Tokenization	UPOS	Head	Deprel
1	Suppose	VERB	0	root
2	,	PUNCT	1	punct
3	for	ADP	5	case
4	the	DET	5	det
5	sake	NOUN	1	obl
6	of	ADP	7	case
7	discussion	NOUN	5	nmod
8	,	PUNCT	1	punct
9	that	SCONJ	13	mark
10	someone	PRON	13	nsubj
11	would	AUX	13	aux
12	openly	ADV	13	advmod
13	stay	VERB	1	ccomp
14	in	ADP	19	case
15	a	DET	19	det
16	well	ADV	18	advmod
17	-	PUNCT	18	punct
18	known	ADJ	19	amod
19	address	NOUN	13	obl
20	in	ADP	21	case
21	Teheran	PROPN	19	nmod
22	,	PUNCT	13	punct
23	hosted	VERB	13	advcl
24	by	ADP	27	case
25	the	DET	27	det
26	Iranian	ADJ	27	amod
27	Government	NOUN	23	obl
28	and	CCONJ	29	cc
29	financed	VERB	23	conj
30	by	ADP	31	case
31	it	PRON	29	obl
32	,	PUNCT	13	punct
33	executing	VERB	13	advcl
34	one	NUM	35	nummod
35	atrocity	NOUN	33	obj
36	after	ADP	37	case
37	another	DET	35	nmod
38	in	ADP	39	case
39	Spain	PROPN	33	obl
40	or	CCONJ	42	cc
41	in	ADP	42	case
42	France	PROPN	39	conj
43	,	PUNCT	33	punct
44	killing	VERB	33	advcl
45	hundreds	NOUN	44	obj
46	of	ADP	48	case
47	innocent	ADJ	48	amod
48	people	NOUN	45	nmod
49	,	PUNCT	33	punct
50	accepting	VERB	33	advcl
51	responsibility	NOUN	50	obj
52	for	ADP	54	case
53	the	DET	54	det
54	crimes	NOUN	51	nmod
55	,	PUNCT	33	punct
56	promising	VERB	33	advcl
57	in	ADP	60	case
58	public	ADJ	60	amod
59	TV	NOUN	60	compound
60	interviews	NOUN	56	obl
61	to	PART	62	mark
62	do	VERB	56	xcomp
63	more	ADJ	62	obj
64	of	ADP	66	case
65	the	DET	66	det
66	same	ADJ	63	obl
67	,	PUNCT	13	punct
68	while	SCONJ	73	mark
69	the	DET	70	det
70	Government	NOUN	73	nsubj
71	of	ADP	72	case
72	Iran	PROPN	70	nmod
73	issues	VERB	13	advcl
74	public	ADJ	75	amod
75	condemnations	NOUN	73	obj
76	of	ADP	78	case
77	his	PRON	78	nmod:poss
78	acts	NOUN	75	nmod
79	but	CCONJ	80	cc
80	continues	VERB	73	conj
81	to	PART	82	mark
82	host	VERB	80	xcomp
83	him	PRON	82	obj
84	,	PUNCT	85	punct
85	invite	VERB	82	conj
86	him	PRON	85	obj
87	to	ADP	89	case
88	official	ADJ	89	amod
89	functions	NOUN	85	obl
90	and	CCONJ	91	cc
91	treat	VERB	82	conj
92	him	PRON	91	obj
93	as	ADP	96	case
94	a	DET	96	det
95	great	ADJ	96	amod
96	dignitary	NOUN	91	obl
97	.	PUNCT	1	punct