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 crew of the Shenzhou VI spacecraft was identified as Fei Junlong, 40, and Nie Haishen, 41, by China's official news agency.
Postion	Tokenization
1	The
2	crew
3	of
4	the
5	Shenzhou
6	VI
7	spacecraft
8	was
9	identified
10	as
11	Fei
12	Junlong
13	,
14	40
15	,
16	and
17	Nie
18	Haishen
19	,
20	41
21	,
22	by
23	China's
24	China
25	's
26	official
27	news
28	agency
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	crew	NOUN	9	nsubj:pass
3	of	ADP	7	case
4	the	DET	7	det
5	Shenzhou	PROPN	6	compound
6	VI	PROPN	7	compound
7	spacecraft	NOUN	2	nmod
8	was	AUX	9	aux:pass
9	identified	VERB	0	root
10	as	ADP	11	case
11	Fei	PROPN	9	obl
12	Junlong	PROPN	11	flat
13	,	PUNCT	11	punct
14	40	NUM	11	amod
15	,	PUNCT	17	punct
16	and	CCONJ	17	cc
17	Nie	PROPN	11	conj
18	Haishen	PROPN	17	flat
19	,	PUNCT	17	punct
20	41	NUM	17	amod
21	,	PUNCT	9	punct
22	by	ADP	27	case
23	China's	_	None	_
24	China	PROPN	27	nmod:poss
25	's	PART	23	case
26	official	ADJ	27	amod
27	news	NOUN	27	compound
28	agency	NOUN	9	obl
29	.	PUNCT	9	punct