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:
Both of these men are heavily involved in the private sector of the space industry, and both are also involved with another space company called SPACEHAB .
Postion	Tokenization
1	Both
2	of
3	these
4	men
5	are
6	heavily
7	involved
8	in
9	the
10	private
11	sector
12	of
13	the
14	space
15	industry
16	,
17	and
18	both
19	are
20	also
21	involved
22	with
23	another
24	space
25	company
26	called
27	SPACEHAB
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Both	DET	7	nsubj
2	of	ADP	4	case
3	these	DET	4	det
4	men	NOUN	1	nmod
5	are	AUX	7	cop
6	heavily	ADV	7	advmod
7	involved	ADJ	0	root
8	in	ADP	11	case
9	the	DET	11	det
10	private	ADJ	11	amod
11	sector	NOUN	7	obl
12	of	ADP	15	case
13	the	DET	15	det
14	space	NOUN	15	compound
15	industry	NOUN	11	nmod
16	,	PUNCT	21	punct
17	and	CCONJ	21	cc
18	both	DET	21	nsubj
19	are	AUX	21	cop
20	also	ADV	21	advmod
21	involved	ADJ	7	conj
22	with	ADP	25	case
23	another	DET	25	det
24	space	NOUN	25	compound
25	company	NOUN	21	obl
26	called	VERB	25	acl
27	SPACEHAB	PROPN	26	xcomp
28	.	PUNCT	7	punct