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:
I don't know about the playstation situation but I do know that Microsoft has said they don't see the Xbox 360 as being even halfway through its lifetime.
Postion	Tokenization
1	I
2	don't
3	do
4	n't
5	know
6	about
7	the
8	playstation
9	situation
10	but
11	I
12	do
13	know
14	that
15	Microsoft
16	has
17	said
18	they
19	don't
20	do
21	n't
22	see
23	the
24	Xbox
25	360
26	as
27	being
28	even
29	halfway
30	through
31	its
32	lifetime
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	know	VERB	0	root
6	about	ADP	8	case
7	the	DET	8	det
8	playstation	PROPN	8	compound
9	situation	NOUN	4	obl
10	but	CCONJ	12	cc
11	I	PRON	12	nsubj
12	do	AUX	12	aux
13	know	VERB	4	conj
14	that	SCONJ	16	mark
15	Microsoft	PROPN	16	nsubj
16	has	AUX	16	aux
17	said	VERB	12	ccomp
18	they	PRON	20	nsubj
19	don't	_	None	_
20	do	AUX	20	aux
21	n't	PART	20	advmod
22	see	VERB	16	ccomp
23	the	DET	22	det
24	Xbox	NOUN	20	obj
25	360	NUM	22	nummod
26	as	SCONJ	30	mark
27	being	AUX	30	cop
28	even	ADV	27	advmod
29	halfway	ADV	30	advmod
30	through	ADP	30	case
31	its	PRON	30	nmod:poss
32	lifetime	NOUN	20	advcl
33	.	PUNCT	4	punct