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:
As Pakistan's president had been telling the United States he was "forced" into taking a hawkish line on India precisely by the likes of Rahman, this was an embarrassment.
Postion	Tokenization
1	As
2	Pakistan's
3	Pakistan
4	's
5	president
6	had
7	been
8	telling
9	the
10	United
11	States
12	he
13	was
14	"
15	forced
16	"
17	into
18	taking
19	a
20	hawkish
21	line
22	on
23	India
24	precisely
25	by
26	the
27	likes
28	of
29	Rahman
30	,
31	this
32	was
33	an
34	embarrassment
35	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	7	mark
2	Pakistan's	_	None	_
3	Pakistan	PROPN	4	nmod:poss
4	's	PART	2	case
5	president	NOUN	7	nsubj
6	had	AUX	7	aux
7	been	AUX	7	aux
8	telling	VERB	33	advcl
9	the	DET	10	det
10	United	PROPN	10	compound
11	States	PROPN	7	obj
12	he	PRON	14	nsubj:pass
13	was	AUX	14	aux:pass
14	"	PUNCT	14	punct
15	forced	VERB	7	ccomp
16	"	PUNCT	14	punct
17	into	SCONJ	17	mark
18	taking	VERB	14	advcl
19	a	DET	20	det
20	hawkish	ADJ	20	amod
21	line	NOUN	17	obj
22	on	ADP	22	case
23	India	PROPN	17	obl
24	precisely	ADV	26	advmod
25	by	ADP	26	case
26	the	DET	26	det
27	likes	NOUN	14	obl
28	of	ADP	28	case
29	Rahman	PROPN	26	nmod
30	,	PUNCT	33	punct
31	this	PRON	33	nsubj
32	was	AUX	33	cop
33	an	DET	33	det
34	embarrassment	NOUN	0	root
35	.	PUNCT	33	punct