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:
Also several days before the elections Pakistan closed the border crossing point at Chaman in Baluchistan which is a key entry point for the Taliban into Afghanistan.
Postion	Tokenization
1	Also
2	several
3	days
4	before
5	the
6	elections
7	Pakistan
8	closed
9	the
10	border
11	crossing
12	point
13	at
14	Chaman
15	in
16	Baluchistan
17	which
18	is
19	a
20	key
21	entry
22	point
23	for
24	the
25	Taliban
26	into
27	Afghanistan
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	8	advmod
2	several	ADJ	3	amod
3	days	NOUN	6	nmod:npmod
4	before	ADP	6	case
5	the	DET	6	det
6	elections	NOUN	8	obl
7	Pakistan	PROPN	8	nsubj
8	closed	VERB	0	root
9	the	DET	12	det
10	border	NOUN	11	compound
11	crossing	NOUN	12	compound
12	point	NOUN	8	obj
13	at	ADP	14	case
14	Chaman	PROPN	12	nmod
15	in	ADP	16	case
16	Baluchistan	PROPN	14	nmod
17	which	PRON	22	nsubj
18	is	AUX	22	cop
19	a	DET	22	det
20	key	ADJ	22	amod
21	entry	NOUN	22	compound
22	point	NOUN	12	acl:relcl
23	for	ADP	25	case
24	the	DET	25	det
25	Taliban	PROPN	22	nmod
26	into	ADP	27	case
27	Afghanistan	PROPN	22	nmod
28	.	PUNCT	8	punct