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:
"Beijing may end up in a early 1990s Japan situation, where it is forced to sell recently purchased overseas assets for a fraction of what it paid for them."
Postion	Tokenization
1	"
2	Beijing
3	may
4	end
5	up
6	in
7	a
8	early
9	1990s
10	Japan
11	situation
12	,
13	where
14	it
15	is
16	forced
17	to
18	sell
19	recently
20	purchased
21	overseas
22	assets
23	for
24	a
25	fraction
26	of
27	what
28	it
29	paid
30	for
31	them
32	.
33	"
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Beijing	PROPN	4	nsubj
3	may	AUX	4	aux
4	end	VERB	0	root
5	up	ADP	4	compound:prt
6	in	ADP	11	case
7	a	DET	11	det
8	early	ADJ	9	amod
9	1990s	NOUN	10	compound
10	Japan	PROPN	11	compound
11	situation	NOUN	4	obl
12	,	PUNCT	11	punct
13	where	SCONJ	16	mark
14	it	PRON	16	nsubj:pass
15	is	AUX	16	aux:pass
16	forced	VERB	11	acl:relcl
17	to	PART	18	mark
18	sell	VERB	16	xcomp
19	recently	ADV	20	advmod
20	purchased	VERB	22	amod
21	overseas	ADJ	22	amod
22	assets	NOUN	18	obj
23	for	ADP	25	case
24	a	DET	25	det
25	fraction	NOUN	18	obl
26	of	SCONJ	27	case
27	what	PRON	25	nmod
28	it	PRON	29	nsubj
29	paid	VERB	27	acl:relcl
30	for	ADP	31	case
31	them	PRON	29	obl
32	.	PUNCT	4	punct
33	"	PUNCT	4	punct