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:
So far what they have done together has been good for us and that’s how we would like to keep it’’, says Karzai.
Postion	Tokenization
1	So
2	far
3	what
4	they
5	have
6	done
7	together
8	has
9	been
10	good
11	for
12	us
13	and
14	that’s
15	that
16	’s
17	how
18	we
19	would
20	like
21	to
22	keep
23	it
24	’’
25	,
26	says
27	Karzai
28	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	2	advmod
2	far	ADV	10	advmod
3	what	PRON	6	obj
4	they	PRON	6	nsubj
5	have	AUX	6	aux
6	done	VERB	10	csubj
7	together	ADV	6	advmod
8	has	AUX	10	aux
9	been	AUX	10	cop
10	good	ADJ	25	ccomp
11	for	ADP	12	case
12	us	PRON	10	obl
13	and	CCONJ	15	cc
14	that’s	_	None	_
15	that	PRON	15	nsubj
16	’s	VERB	10	conj
17	how	SCONJ	19	mark
18	we	PRON	19	nsubj
19	would	AUX	19	aux
20	like	VERB	15	ccomp
21	to	PART	21	mark
22	keep	VERB	19	xcomp
23	it	PRON	21	obj
24	’’	PUNCT	25	punct
25	,	PUNCT	25	punct
26	says	VERB	0	root
27	Karzai	PROPN	25	nsubj
28	.	PUNCT	25	punct