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:
This year a newspaper claimed two UK firms were involved in a deal in which thousands of guns for Iraqi forces were re-routed to al-Qaeda.
Postion	Tokenization
1	This
2	year
3	a
4	newspaper
5	claimed
6	two
7	UK
8	firms
9	were
10	involved
11	in
12	a
13	deal
14	in
15	which
16	thousands
17	of
18	guns
19	for
20	Iraqi
21	forces
22	were
23	re-routed
24	to
25	al
26	-
27	Qaeda
28	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	year	NOUN	5	obl:tmod
3	a	DET	4	det
4	newspaper	NOUN	5	nsubj
5	claimed	VERB	0	root
6	two	NUM	8	nummod
7	UK	PROPN	8	compound
8	firms	NOUN	10	nsubj
9	were	AUX	10	cop
10	involved	ADJ	5	ccomp
11	in	ADP	13	case
12	a	DET	13	det
13	deal	NOUN	10	obl
14	in	ADP	15	case
15	which	PRON	23	obl
16	thousands	NOUN	23	nsubj:pass
17	of	ADP	18	case
18	guns	NOUN	16	nmod
19	for	ADP	21	case
20	Iraqi	ADJ	21	amod
21	forces	NOUN	18	nmod
22	were	AUX	23	aux:pass
23	re-routed	VERB	13	acl:relcl
24	to	ADP	27	case
25	al	PROPN	27	compound
26	-	PUNCT	27	punct
27	Qaeda	PROPN	23	obl
28	.	PUNCT	5	punct