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:
2.5 - Number of hours after Rumsfeld learnt that Osama bin Laden was a suspect in the 11 September attacks that he brought up reasons to "hit" Iraq.
Postion	Tokenization
1	2.5
2	-
3	Number
4	of
5	hours
6	after
7	Rumsfeld
8	learnt
9	that
10	Osama
11	bin
12	Laden
13	was
14	a
15	suspect
16	in
17	the
18	11
19	September
20	attacks
21	that
22	he
23	brought
24	up
25	reasons
26	to
27	"
28	hit
29	"
30	Iraq
31	.
Position	Tokenization	UPOS	Head	Deprel
1	2.5	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	5	case
5	hours	NOUN	3	nmod
6	after	SCONJ	8	mark
7	Rumsfeld	PROPN	8	nsubj
8	learnt	VERB	5	acl
9	that	SCONJ	15	mark
10	Osama	PROPN	15	nsubj
11	bin	PROPN	10	flat
12	Laden	PROPN	10	flat
13	was	AUX	15	cop
14	a	DET	15	det
15	suspect	NOUN	8	ccomp
16	in	ADP	20	case
17	the	DET	20	det
18	11	NUM	19	nummod
19	September	PROPN	20	compound
20	attacks	NOUN	15	nmod
21	that	ADV	23	advmod
22	he	PRON	23	nsubj
23	brought	VERB	5	acl:relcl
24	up	ADP	23	compound:prt
25	reasons	NOUN	23	obj
26	to	PART	28	mark
27	"	PUNCT	28	punct
28	hit	VERB	25	acl
29	"	PUNCT	28	punct
30	Iraq	PROPN	28	obj
31	.	PUNCT	1	punct