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:
It looks as if NASA is transitioning away from the shuttle model, as in the past they have proven to be quite dangerous as Columbia has recently proved.
Postion	Tokenization
1	It
2	looks
3	as
4	if
5	NASA
6	is
7	transitioning
8	away
9	from
10	the
11	shuttle
12	model
13	,
14	as
15	in
16	the
17	past
18	they
19	have
20	proven
21	to
22	be
23	quite
24	dangerous
25	as
26	Columbia
27	has
28	recently
29	proved
30	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	nsubj
2	looks	VERB	0	root
3	as	SCONJ	7	mark
4	if	SCONJ	7	mark
5	NASA	PROPN	7	nsubj
6	is	AUX	7	aux
7	transitioning	VERB	2	advcl
8	away	ADV	7	advmod
9	from	ADP	12	case
10	the	DET	12	det
11	shuttle	NOUN	12	compound
12	model	NOUN	7	obl
13	,	PUNCT	7	punct
14	as	SCONJ	20	mark
15	in	ADP	17	case
16	the	DET	17	det
17	past	NOUN	20	obl
18	they	PRON	20	nsubj
19	have	AUX	20	aux
20	proven	VERB	7	advcl
21	to	PART	24	mark
22	be	AUX	24	cop
23	quite	ADV	24	advmod
24	dangerous	ADJ	20	xcomp
25	as	SCONJ	29	mark
26	Columbia	PROPN	29	nsubj
27	has	AUX	29	aux
28	recently	ADV	29	advmod
29	proved	VERB	24	advcl
30	.	PUNCT	2	punct