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:
Islamabad accuses New Delhi of using its consulates in Kandahar and Jalalabad to train Balochi insurgents who are active in Pakistani Balochistan.
Postion	Tokenization
1	Islamabad
2	accuses
3	New
4	Delhi
5	of
6	using
7	its
8	consulates
9	in
10	Kandahar
11	and
12	Jalalabad
13	to
14	train
15	Balochi
16	insurgents
17	who
18	are
19	active
20	in
21	Pakistani
22	Balochistan
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Islamabad	PROPN	2	nsubj
2	accuses	VERB	0	root
3	New	PROPN	4	compound
4	Delhi	PROPN	2	obj
5	of	SCONJ	6	mark
6	using	VERB	2	advcl
7	its	PRON	8	nmod:poss
8	consulates	NOUN	6	obj
9	in	ADP	10	case
10	Kandahar	PROPN	8	nmod
11	and	CCONJ	12	cc
12	Jalalabad	PROPN	10	conj
13	to	PART	14	mark
14	train	VERB	6	xcomp
15	Balochi	ADJ	16	amod
16	insurgents	NOUN	14	obj
17	who	PRON	19	nsubj
18	are	AUX	19	cop
19	active	ADJ	16	acl:relcl
20	in	ADP	22	case
21	Pakistani	ADJ	22	amod
22	Balochistan	PROPN	19	obl
23	.	PUNCT	2	punct