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:
They want to use LTS to tie into NASA's vision for Space Exploration, and seem pleased that the White House is moving in that direction.
Postion	Tokenization
1	They
2	want
3	to
4	use
5	LTS
6	to
7	tie
8	into
9	NASA's
10	NASA
11	's
12	vision
13	for
14	Space
15	Exploration
16	,
17	and
18	seem
19	pleased
20	that
21	the
22	White
23	House
24	is
25	moving
26	in
27	that
28	direction
29	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	want	VERB	0	root
3	to	PART	4	mark
4	use	VERB	2	xcomp
5	LTS	PROPN	4	obj
6	to	PART	7	mark
7	tie	VERB	4	advcl
8	into	ADP	11	case
9	NASA's	_	None	_
10	NASA	PROPN	11	nmod:poss
11	's	PART	9	case
12	vision	NOUN	7	obl
13	for	ADP	14	case
14	Space	NOUN	14	compound
15	Exploration	NOUN	11	nmod
16	,	PUNCT	17	punct
17	and	CCONJ	17	cc
18	seem	VERB	2	conj
19	pleased	ADJ	17	xcomp
20	that	SCONJ	24	mark
21	the	DET	22	det
22	White	PROPN	22	compound
23	House	PROPN	24	nsubj
24	is	AUX	24	aux
25	moving	VERB	18	ccomp
26	in	ADP	27	case
27	that	DET	27	det
28	direction	NOUN	24	obl
29	.	PUNCT	2	punct