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:
‘’There is much better tactical cooperation between our forces on both sides of the border, but the movement of Taliban still goes on both ways,’’ he adds.
Postion	Tokenization
1	‘’
2	There
3	is
4	much
5	better
6	tactical
7	cooperation
8	between
9	our
10	forces
11	on
12	both
13	sides
14	of
15	the
16	border
17	,
18	but
19	the
20	movement
21	of
22	Taliban
23	still
24	goes
25	on
26	both
27	ways
28	,
29	’’
30	he
31	adds
32	.
Position	Tokenization	UPOS	Head	Deprel
1	‘’	PUNCT	31	punct
2	There	PRON	3	expl
3	is	VERB	31	ccomp
4	much	ADV	5	advmod
5	better	ADJ	7	amod
6	tactical	ADJ	7	amod
7	cooperation	NOUN	3	nsubj
8	between	ADP	10	case
9	our	PRON	10	nmod:poss
10	forces	NOUN	7	nmod
11	on	ADP	13	case
12	both	DET	13	det
13	sides	NOUN	7	nmod
14	of	ADP	16	case
15	the	DET	16	det
16	border	NOUN	13	nmod
17	,	PUNCT	24	punct
18	but	CCONJ	24	cc
19	the	DET	20	det
20	movement	NOUN	24	nsubj
21	of	ADP	22	case
22	Taliban	PROPN	20	nmod
23	still	ADV	24	advmod
24	goes	VERB	3	conj
25	on	ADP	24	compound:prt
26	both	DET	27	det
27	ways	NOUN	24	obl:npmod
28	,	PUNCT	31	punct
29	’’	PUNCT	31	punct
30	he	PRON	31	nsubj
31	adds	VERB	0	root
32	.	PUNCT	31	punct