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:
Unfortunately for them, the general has decided to take seriously Colin Powell's frequent boasts that it was on his nudging that the Indians made conciliatory gestures toward Islamabad.
Postion	Tokenization
1	Unfortunately
2	for
3	them
4	,
5	the
6	general
7	has
8	decided
9	to
10	take
11	seriously
12	Colin
13	Powell's
14	Powell
15	's
16	frequent
17	boasts
18	that
19	it
20	was
21	on
22	his
23	nudging
24	that
25	the
26	Indians
27	made
28	conciliatory
29	gestures
30	toward
31	Islamabad
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Unfortunately	ADV	8	advmod
2	for	ADP	3	case
3	them	PRON	1	obl
4	,	PUNCT	8	punct
5	the	DET	6	det
6	general	NOUN	8	nsubj
7	has	AUX	8	aux
8	decided	VERB	0	root
9	to	PART	10	mark
10	take	VERB	8	xcomp
11	seriously	ADV	10	advmod
12	Colin	PROPN	16	nmod:poss
13	Powell's	_	None	_
14	Powell	PROPN	12	flat
15	's	PART	12	case
16	frequent	ADJ	16	amod
17	boasts	NOUN	10	obj
18	that	SCONJ	22	mark
19	it	PRON	22	nsubj
20	was	AUX	22	cop
21	on	ADP	22	case
22	his	PRON	22	nmod:poss
23	nudging	NOUN	16	acl
24	that	ADV	26	obl
25	the	DET	25	det
26	Indians	PROPN	26	nsubj
27	made	VERB	22	acl:relcl
28	conciliatory	ADJ	28	amod
29	gestures	NOUN	26	obj
30	toward	ADP	30	case
31	Islamabad	PROPN	28	nmod
32	.	PUNCT	8	punct