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:
Country has an Independent strategy = NASA & company to use "Numero Uno" strategy, try to assert, beat, mesh and control the space program of the country.
Postion	Tokenization
1	Country
2	has
3	an
4	Independent
5	strategy
6	=
7	NASA
8	&
9	company
10	to
11	use
12	"
13	Numero
14	Uno
15	"
16	strategy
17	,
18	try
19	to
20	assert
21	,
22	beat
23	,
24	mesh
25	and
26	control
27	the
28	space
29	program
30	of
31	the
32	country
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Country	NOUN	2	nsubj
2	has	VERB	0	root
3	an	DET	5	det
4	Independent	ADJ	5	amod
5	strategy	NOUN	2	obj
6	=	PUNCT	2	punct
7	NASA	PROPN	11	nsubj
8	&	CCONJ	9	cc
9	company	NOUN	7	conj
10	to	PART	11	mark
11	use	VERB	2	parataxis
12	"	PUNCT	14	punct
13	Numero	NOUN	14	compound
14	Uno	NOUN	16	compound
15	"	PUNCT	14	punct
16	strategy	NOUN	11	obj
17	,	PUNCT	11	punct
18	try	VERB	11	parataxis
19	to	PART	20	mark
20	assert	VERB	18	xcomp
21	,	PUNCT	22	punct
22	beat	VERB	20	conj
23	,	PUNCT	24	punct
24	mesh	VERB	20	conj
25	and	CCONJ	26	cc
26	control	VERB	20	conj
27	the	DET	29	det
28	space	NOUN	29	compound
29	program	NOUN	20	obj
30	of	ADP	32	case
31	the	DET	32	det
32	country	NOUN	29	nmod
33	.	PUNCT	2	punct