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:
Bob Noyce and Gordon Moore wanted to name their new company 'Moore Noyce' but that was already trademarked by a hotel chain so they had to settle for an acronym of INTegrated ELectronics.
Postion	Tokenization
1	Bob
2	Noyce
3	and
4	Gordon
5	Moore
6	wanted
7	to
8	name
9	their
10	new
11	company
12	'
13	Moore
14	Noyce
15	'
16	but
17	that
18	was
19	already
20	trademarked
21	by
22	a
23	hotel
24	chain
25	so
26	they
27	had
28	to
29	settle
30	for
31	an
32	acronym
33	of
34	INTegrated
35	ELectronics
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Bob	PROPN	6	nsubj
2	Noyce	PROPN	1	flat
3	and	CCONJ	4	cc
4	Gordon	PROPN	1	conj
5	Moore	PROPN	4	flat
6	wanted	VERB	0	root
7	to	PART	8	mark
8	name	VERB	6	xcomp
9	their	PRON	11	nmod:poss
10	new	ADJ	11	amod
11	company	NOUN	8	obj
12	'	PUNCT	13	punct
13	Moore	PROPN	8	xcomp
14	Noyce	PROPN	13	flat
15	'	PUNCT	13	punct
16	but	CCONJ	20	cc
17	that	PRON	20	nsubj:pass
18	was	AUX	20	aux:pass
19	already	ADV	20	advmod
20	trademarked	VERB	6	conj
21	by	ADP	24	case
22	a	DET	24	det
23	hotel	NOUN	24	compound
24	chain	NOUN	20	obl
25	so	ADV	27	advmod
26	they	PRON	27	nsubj
27	had	VERB	20	conj
28	to	PART	29	mark
29	settle	VERB	27	xcomp
30	for	ADP	32	case
31	an	DET	32	det
32	acronym	NOUN	29	obl
33	of	ADP	35	case
34	INTegrated	ADJ	35	amod
35	ELectronics	NOUN	32	nmod
36	.	PUNCT	6	punct