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:
Andreas Bechtolsheim built a microcomputer; Vinod Khosla recruited him and Scott McNealy to manufacture computers based on it, and Bill Joy to develop a UNIX-based OS for the computer.
Postion	Tokenization
1	Andreas
2	Bechtolsheim
3	built
4	a
5	microcomputer
6	;
7	Vinod
8	Khosla
9	recruited
10	him
11	and
12	Scott
13	McNealy
14	to
15	manufacture
16	computers
17	based
18	on
19	it
20	,
21	and
22	recruited
23	Bill
24	Joy
25	to
26	develop
27	a
28	UNIX
29	-
30	based
31	OS
32	for
33	the
34	computer
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Andreas	NOUN	3	nsubj
2	Bechtolsheim	PROPN	1	flat
3	built	VERB	0	root
4	a	DET	5	det
5	microcomputer	NOUN	3	obj
6	;	PUNCT	3	punct
7	Vinod	PROPN	9	nsubj
8	Khosla	PROPN	7	flat
9	recruited	VERB	5	parataxis
10	him	PRON	9	obj
11	and	CCONJ	12	cc
12	Scott	PROPN	10	conj
13	McNealy	PROPN	12	flat
14	to	PART	15	mark
15	manufacture	VERB	9	advcl
16	computers	NOUN	15	obj
17	based	VERB	16	acl
18	on	ADP	19	case
19	it	PRON	17	obl
20	,	PUNCT	22	punct
21	and	CCONJ	22	cc
22	recruited	VERB	None	_
23	Bill	PROPN	9	conj
24	Joy	PROPN	22	flat
25	to	PART	25	mark
26	develop	VERB	22	orphan
27	a	DET	30	det
28	UNIX	PROPN	29	compound
29	-	PUNCT	29	punct
30	based	ADJ	30	amod
31	OS	NOUN	25	obj
32	for	ADP	33	case
33	the	DET	33	det
34	computer	NOUN	30	nmod
35	.	PUNCT	3	punct