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:
As for Christchurch, yes the aftershocks are still happening, but these are fairly small - you can feel them, but the don't do any damage.
Postion	Tokenization
1	As
2	for
3	Christchurch
4	,
5	yes
6	the
7	aftershocks
8	are
9	still
10	happening
11	,
12	but
13	these
14	are
15	fairly
16	small
17	-
18	you
19	can
20	feel
21	them
22	,
23	but
24	the
25	don't
26	do
27	n't
28	do
29	any
30	damage
31	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	3	case
2	for	ADP	1	fixed
3	Christchurch	PROPN	10	obl
4	,	PUNCT	10	punct
5	yes	INTJ	10	discourse
6	the	DET	7	det
7	aftershocks	NOUN	10	nsubj
8	are	AUX	10	aux
9	still	ADV	10	advmod
10	happening	VERB	0	root
11	,	PUNCT	16	punct
12	but	CCONJ	16	cc
13	these	PRON	16	nsubj
14	are	AUX	16	cop
15	fairly	ADV	16	advmod
16	small	ADJ	10	conj
17	-	PUNCT	16	punct
18	you	PRON	20	nsubj
19	can	AUX	20	aux
20	feel	VERB	16	parataxis
21	them	PRON	20	obj
22	,	PUNCT	27	punct
23	but	CCONJ	27	cc
24	the	PRON	27	nsubj
25	don't	_	None	_
26	do	AUX	27	aux
27	n't	PART	27	advmod
28	do	VERB	20	conj
29	any	DET	29	det
30	damage	NOUN	27	obj
31	.	PUNCT	10	punct