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:
Microsoft is 4-0 (they took down Netscape, Suns Systems, MAC and IBM) and Google may be their next target.
Postion	Tokenization
1	Microsoft
2	is
3	4
4	-
5	0
6	(
7	they
8	took
9	down
10	Netscape
11	,
12	Suns
13	Systems
14	,
15	MAC
16	and
17	IBM
18	)
19	and
20	Google
21	may
22	be
23	their
24	next
25	target
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Microsoft	PROPN	3	nsubj
2	is	AUX	3	cop
3	4	NUM	0	root
4	-	SYM	5	case
5	0	NUM	3	nmod
6	(	PUNCT	8	punct
7	they	PRON	8	nsubj
8	took	VERB	3	parataxis
9	down	ADP	8	compound:prt
10	Netscape	PROPN	8	obj
11	,	PUNCT	13	punct
12	Suns	PROPN	13	compound
13	Systems	PROPN	10	conj
14	,	PUNCT	15	punct
15	MAC	PROPN	10	conj
16	and	CCONJ	17	cc
17	IBM	PROPN	10	conj
18	)	PUNCT	8	punct
19	and	CCONJ	25	cc
20	Google	PROPN	25	nsubj
21	may	AUX	25	aux
22	be	AUX	25	cop
23	their	PRON	25	nmod:poss
24	next	ADJ	25	amod
25	target	NOUN	3	conj
26	.	PUNCT	3	punct