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:
The next day an angry Musharraf categorically said that Pakistan would not send Pakistani troops to Iraq, a clear snub to the Americans.
Postion	Tokenization
1	The
2	next
3	day
4	an
5	angry
6	Musharraf
7	categorically
8	said
9	that
10	Pakistan
11	would
12	not
13	send
14	Pakistani
15	troops
16	to
17	Iraq
18	,
19	a
20	clear
21	snub
22	to
23	the
24	Americans
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	next	ADJ	3	amod
3	day	NOUN	8	obl:tmod
4	an	DET	6	det
5	angry	ADJ	6	amod
6	Musharraf	PROPN	8	nsubj
7	categorically	ADV	8	advmod
8	said	VERB	0	root
9	that	SCONJ	13	mark
10	Pakistan	PROPN	13	nsubj
11	would	AUX	13	aux
12	not	PART	13	advmod
13	send	VERB	8	ccomp
14	Pakistani	ADJ	15	amod
15	troops	NOUN	13	obj
16	to	ADP	17	case
17	Iraq	PROPN	13	obl
18	,	PUNCT	21	punct
19	a	DET	21	det
20	clear	ADJ	21	amod
21	snub	NOUN	13	appos
22	to	ADP	24	case
23	the	DET	24	det
24	Americans	PROPN	21	nmod
25	.	PUNCT	21	punct