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:
Maybe one day they will allow space tourism, (hopefully that will be in the near future)although I would recommend that NASA build new shuttles instead of trying to preserve the older ones.
Postion	Tokenization
1	Maybe
2	one
3	day
4	they
5	will
6	allow
7	space
8	tourism
9	,
10	(
11	hopefully
12	that
13	will
14	be
15	in
16	the
17	near
18	future
19	)
20	although
21	I
22	would
23	recommend
24	that
25	NASA
26	build
27	new
28	shuttles
29	instead
30	of
31	trying
32	to
33	preserve
34	the
35	older
36	ones
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Maybe	ADV	6	advmod
2	one	NUM	3	nummod
3	day	NOUN	6	obl:tmod
4	they	PRON	6	nsubj
5	will	AUX	6	aux
6	allow	VERB	0	root
7	space	NOUN	8	compound
8	tourism	NOUN	6	obj
9	,	PUNCT	6	punct
10	(	PUNCT	18	punct
11	hopefully	ADV	18	advmod
12	that	PRON	18	nsubj
13	will	AUX	18	aux
14	be	AUX	18	cop
15	in	ADP	18	case
16	the	DET	18	det
17	near	ADJ	18	amod
18	future	NOUN	6	parataxis
19	)	PUNCT	18	punct
20	although	SCONJ	23	mark
21	I	PRON	23	nsubj
22	would	AUX	23	aux
23	recommend	VERB	6	advcl
24	that	SCONJ	26	mark
25	NASA	PROPN	26	nsubj
26	build	VERB	23	ccomp
27	new	ADJ	28	amod
28	shuttles	NOUN	26	obj
29	instead	ADV	31	mark
30	of	SCONJ	29	fixed
31	trying	VERB	26	advcl
32	to	PART	33	mark
33	preserve	VERB	31	xcomp
34	the	DET	36	det
35	older	ADJ	36	amod
36	ones	NOUN	33	obj
37	.	PUNCT	6	punct