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:
"Our new lunar transportation system utilizes a unique architecture that will establish the equivalent of a two-way highway between the Earth and the Moon," Kistler told SPACE.com.
Postion	Tokenization
1	"
2	Our
3	new
4	lunar
5	transportation
6	system
7	utilizes
8	a
9	unique
10	architecture
11	that
12	will
13	establish
14	the
15	equivalent
16	of
17	a
18	two
19	-
20	way
21	highway
22	between
23	the
24	Earth
25	and
26	the
27	Moon
28	,
29	"
30	Kistler
31	told
32	SPACE.com
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	31	punct
2	Our	PRON	6	nmod:poss
3	new	ADJ	6	amod
4	lunar	ADJ	5	amod
5	transportation	NOUN	6	compound
6	system	NOUN	7	nsubj
7	utilizes	VERB	31	ccomp
8	a	DET	10	det
9	unique	ADJ	10	amod
10	architecture	NOUN	7	obj
11	that	PRON	13	nsubj
12	will	AUX	13	aux
13	establish	VERB	10	acl:relcl
14	the	DET	15	det
15	equivalent	NOUN	13	obj
16	of	ADP	21	case
17	a	DET	21	det
18	two	NUM	20	nummod
19	-	PUNCT	20	punct
20	way	NOUN	21	compound
21	highway	NOUN	15	nmod
22	between	ADP	24	case
23	the	DET	24	det
24	Earth	PROPN	21	nmod
25	and	CCONJ	27	cc
26	the	DET	27	det
27	Moon	PROPN	24	conj
28	,	PUNCT	31	punct
29	"	PUNCT	31	punct
30	Kistler	PROPN	31	nsubj
31	told	VERB	0	root
32	SPACE.com	X	31	obj
33	.	PUNCT	31	punct