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:
The flight of Fei and Nie could mark the end of the opening chapter in a three-phase Chinese space initiative, Johnson-Freese said.
Postion	Tokenization
1	The
2	flight
3	of
4	Fei
5	and
6	Nie
7	could
8	mark
9	the
10	end
11	of
12	the
13	opening
14	chapter
15	in
16	a
17	three
18	-
19	phase
20	Chinese
21	space
22	initiative
23	,
24	Johnson
25	-
26	Freese
27	said
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	flight	NOUN	8	nsubj
3	of	ADP	4	case
4	Fei	PROPN	2	nmod
5	and	CCONJ	6	cc
6	Nie	PROPN	4	conj
7	could	AUX	8	aux
8	mark	VERB	27	ccomp
9	the	DET	10	det
10	end	NOUN	8	obj
11	of	ADP	14	case
12	the	DET	14	det
13	opening	VERB	14	amod
14	chapter	NOUN	10	nmod
15	in	ADP	22	case
16	a	DET	22	det
17	three	NUM	19	nummod
18	-	PUNCT	19	punct
19	phase	NOUN	22	compound
20	Chinese	ADJ	22	amod
21	space	NOUN	22	compound
22	initiative	NOUN	14	nmod
23	,	PUNCT	27	punct
24	Johnson	PROPN	27	nsubj
25	-	PUNCT	24	punct
26	Freese	PROPN	24	flat
27	said	VERB	0	root
28	.	PUNCT	27	punct