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:
Despite the aftershocks I would recommend going to Christchurch, just for the experience and then you can see first hand how things get effected by earthquakes.
Postion	Tokenization
1	Despite
2	the
3	aftershocks
4	I
5	would
6	recommend
7	going
8	to
9	Christchurch
10	,
11	just
12	for
13	the
14	experience
15	and
16	then
17	you
18	can
19	see
20	first
21	hand
22	how
23	things
24	get
25	effected
26	by
27	earthquakes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Despite	ADP	3	case
2	the	DET	3	det
3	aftershocks	NOUN	6	obl
4	I	PRON	6	nsubj
5	would	AUX	6	aux
6	recommend	VERB	0	root
7	going	VERB	6	xcomp
8	to	ADP	9	case
9	Christchurch	PROPN	7	obl
10	,	PUNCT	7	punct
11	just	ADV	14	advmod
12	for	ADP	14	case
13	the	DET	14	det
14	experience	NOUN	7	obl
15	and	CCONJ	19	cc
16	then	ADV	19	advmod
17	you	PRON	19	nsubj
18	can	AUX	19	aux
19	see	VERB	6	conj
20	first	ADV	21	amod
21	hand	NOUN	19	obl:npmod
22	how	SCONJ	25	mark
23	things	NOUN	25	nsubj:pass
24	get	AUX	25	aux:pass
25	effected	VERB	19	ccomp
26	by	ADP	27	case
27	earthquakes	NOUN	25	obl
28	.	PUNCT	6	punct