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 text: But seeing how the private sector has been able to successfully transport civilians to the ISS (at about a fifth of the cost), it would come to no surprise if corporate America was able to out perform their bureaucratic friends in government.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	29	cc
2	seeing	VERB	29	advcl
3	how	SCONJ	9	mark
4	the	DET	6	det
5	private	ADJ	6	amod
6	sector	NOUN	9	nsubj
7	has	AUX	9	aux
8	been	AUX	9	cop
9	able	ADJ	2	ccomp
10	to	PART	12	mark
11	successfully	ADV	12	advmod
12	transport	VERB	9	xcomp
13	civilians	NOUN	12	obj
14	to	ADP	16	case
15	the	DET	16	det
16	ISS	PROPN	12	obl
17	(	PUNCT	21	punct
18	at	ADP	21	case
19	about	ADV	20	advmod
20	a	DET	21	nummod
21	fifth	NOUN	12	obl
22	of	ADP	24	case
23	the	DET	24	det
24	cost	NOUN	21	nmod
25	)	PUNCT	21	punct
26	,	PUNCT	29	punct
27	it	PRON	29	nsubj
28	would	AUX	29	aux
29	come	VERB	0	root
30	to	ADP	32	case
31	no	DET	32	det
32	surprise	NOUN	29	obl
33	if	SCONJ	37	mark
34	corporate	ADJ	35	amod
35	America	PROPN	37	nsubj
36	was	AUX	37	cop
37	able	ADJ	29	advcl
38	to	PART	40	mark
39	out	X	40	advmod
40	perform	VERB	37	xcomp
41	their	PRON	43	nmod:poss
42	bureaucratic	ADJ	43	amod
43	friends	NOUN	40	obj
44	in	ADP	45	case
45	government	NOUN	43	nmod
46	.	PUNCT	29	punct