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:
Some strategies being used by NASA & Company in relation to China and other space planning countries are mentioned here after being gleaned from a news item underneath.
Postion	Tokenization
1	Some
2	strategies
3	being
4	used
5	by
6	NASA
7	&
8	Company
9	in
10	relation
11	to
12	China
13	and
14	other
15	space
16	planning
17	countries
18	are
19	mentioned
20	here
21	after
22	being
23	gleaned
24	from
25	a
26	news
27	item
28	underneath
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	2	det
2	strategies	NOUN	19	nsubj:pass
3	being	AUX	4	aux:pass
4	used	VERB	2	acl
5	by	ADP	6	case
6	NASA	PROPN	4	obl
7	&	CCONJ	8	cc
8	Company	NOUN	6	conj
9	in	ADP	10	case
10	relation	NOUN	4	obl
11	to	ADP	12	case
12	China	PROPN	10	nmod
13	and	CCONJ	17	cc
14	other	ADJ	17	amod
15	space	NOUN	16	compound
16	planning	VERB	17	amod
17	countries	NOUN	12	conj
18	are	AUX	19	aux:pass
19	mentioned	VERB	0	root
20	here	ADV	19	advmod
21	after	SCONJ	23	mark
22	being	AUX	23	aux:pass
23	gleaned	VERB	19	advcl
24	from	ADP	27	case
25	a	DET	27	det
26	news	NOUN	27	compound
27	item	NOUN	23	obl
28	underneath	ADV	27	advmod
29	.	PUNCT	19	punct