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:
A coalition forces spokesman confirmed they had not received "any weapons from Bosnia" and added they were "not aware of any purchases for Iraq from Bosnia".
Postion	Tokenization
1	A
2	coalition
3	forces
4	spokesman
5	confirmed
6	they
7	had
8	not
9	received
10	"
11	any
12	weapons
13	from
14	Bosnia
15	"
16	and
17	added
18	they
19	were
20	"
21	not
22	aware
23	of
24	any
25	purchases
26	for
27	Iraq
28	from
29	Bosnia
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	4	det
2	coalition	NOUN	3	compound
3	forces	NOUN	4	compound
4	spokesman	NOUN	5	nsubj
5	confirmed	VERB	0	root
6	they	PRON	9	nsubj
7	had	AUX	9	aux
8	not	PART	9	advmod
9	received	VERB	5	ccomp
10	"	PUNCT	9	punct
11	any	DET	12	det
12	weapons	NOUN	9	obj
13	from	ADP	14	case
14	Bosnia	PROPN	9	obl
15	"	PUNCT	5	punct
16	and	CCONJ	17	cc
17	added	VERB	5	conj
18	they	PRON	22	nsubj
19	were	AUX	22	cop
20	"	PUNCT	22	punct
21	not	PART	22	advmod
22	aware	ADJ	17	ccomp
23	of	ADP	25	case
24	any	DET	25	det
25	purchases	NOUN	22	obl
26	for	ADP	27	case
27	Iraq	PROPN	25	nmod
28	from	ADP	29	case
29	Bosnia	PROPN	25	nmod
30	"	PUNCT	5	punct
31	.	PUNCT	5	punct