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:
It will be interesting to see whether or not Google will finally slay the Microsoft Goliath, who has known no major defeat and seeks to vanquish all competition.
Postion	Tokenization
1	It
2	will
3	be
4	interesting
5	to
6	see
7	whether
8	or
9	not
10	Google
11	will
12	finally
13	slay
14	the
15	Microsoft
16	Goliath
17	,
18	who
19	has
20	known
21	no
22	major
23	defeat
24	and
25	seeks
26	to
27	vanquish
28	all
29	competition
30	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	expl
2	will	AUX	4	aux
3	be	AUX	4	cop
4	interesting	ADJ	0	root
5	to	PART	6	mark
6	see	VERB	4	csubj
7	whether	SCONJ	13	mark
8	or	CCONJ	7	fixed
9	not	ADV	7	fixed
10	Google	PROPN	13	nsubj
11	will	AUX	13	aux
12	finally	ADV	13	advmod
13	slay	VERB	6	ccomp
14	the	DET	16	det
15	Microsoft	PROPN	16	compound
16	Goliath	NOUN	13	obj
17	,	PUNCT	16	punct
18	who	PRON	20	nsubj
19	has	AUX	20	aux
20	known	VERB	16	acl:relcl
21	no	DET	23	det
22	major	ADJ	23	amod
23	defeat	NOUN	20	obj
24	and	CCONJ	25	cc
25	seeks	VERB	20	conj
26	to	PART	27	mark
27	vanquish	VERB	25	xcomp
28	all	DET	29	det
29	competition	NOUN	27	obj
30	.	PUNCT	4	punct