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:
It's hard to keep up with the stories about billion dollar appropriations, debt forgiveness, and loan guarantees to countries like Egypt and Israel and now even Pakistan.
Postion	Tokenization
1	It's
2	It
3	's
4	hard
5	to
6	keep
7	up
8	with
9	the
10	stories
11	about
12	billion
13	dollar
14	appropriations
15	,
16	debt
17	forgiveness
18	,
19	and
20	loan
21	guarantees
22	to
23	countries
24	like
25	Egypt
26	and
27	Israel
28	and
29	now
30	even
31	Pakistan
32	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	3	nsubj
3	's	AUX	3	cop
4	hard	ADJ	0	root
5	to	PART	5	mark
6	keep	VERB	3	ccomp
7	up	ADP	5	compound:prt
8	with	ADP	9	case
9	the	DET	9	det
10	stories	NOUN	5	obl
11	about	ADP	13	case
12	billion	NUM	12	nummod
13	dollar	NOUN	13	compound
14	appropriations	NOUN	9	nmod
15	,	PUNCT	16	punct
16	debt	NOUN	16	compound
17	forgiveness	NOUN	13	conj
18	,	PUNCT	20	punct
19	and	CCONJ	20	cc
20	loan	NOUN	20	compound
21	guarantees	NOUN	13	conj
22	to	ADP	22	case
23	countries	NOUN	13	nmod
24	like	ADP	24	case
25	Egypt	PROPN	22	nmod
26	and	CCONJ	26	cc
27	Israel	PROPN	24	conj
28	and	CCONJ	30	cc
29	now	ADV	30	advmod
30	even	ADV	30	advmod
31	Pakistan	PROPN	24	conj
32	.	PUNCT	3	punct