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 like The Lunar Transportation Systems, Inc. is visualizing a "space highway" going from the moon to Earth (and back again).
Postion	Tokenization
1	It
2	looks
3	like
4	The
5	Lunar
6	Transportation
7	Systems
8	,
9	Inc.
10	is
11	visualizing
12	a
13	"
14	space
15	highway
16	"
17	going
18	from
19	the
20	moon
21	to
22	Earth
23	(
24	and
25	back
26	again
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	nsubj
2	looks	VERB	0	root
3	like	SCONJ	11	mark
4	The	DET	9	det
5	Lunar	PROPN	9	compound
6	Transportation	PROPN	9	compound
7	Systems	PROPN	9	compound
8	,	PUNCT	9	punct
9	Inc.	PROPN	11	nsubj
10	is	AUX	11	aux
11	visualizing	VERB	2	advcl
12	a	DET	15	det
13	"	PUNCT	15	punct
14	space	NOUN	15	compound
15	highway	NOUN	11	obj
16	"	PUNCT	15	punct
17	going	VERB	15	acl
18	from	ADP	20	case
19	the	DET	20	det
20	moon	PROPN	17	obl
21	to	ADP	22	case
22	Earth	PROPN	17	obl
23	(	PUNCT	25	punct
24	and	CCONJ	25	cc
25	back	ADV	22	conj
26	again	ADV	25	advmod
27	)	PUNCT	25	punct
28	.	PUNCT	2	punct