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:
Increasingly, analysts are saying that China's efforts have gone beyond what is safe or even in its own interests.
Postion	Tokenization
1	Increasingly
2	,
3	analysts
4	are
5	saying
6	that
7	China's
8	China
9	's
10	efforts
11	have
12	gone
13	beyond
14	what
15	is
16	safe
17	or
18	even
19	in
20	its
21	own
22	interests
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Increasingly	ADV	5	advmod
2	,	PUNCT	5	punct
3	analysts	NOUN	5	nsubj
4	are	AUX	5	aux
5	saying	VERB	0	root
6	that	SCONJ	11	mark
7	China's	_	None	_
8	China	PROPN	9	nmod:poss
9	's	PART	7	case
10	efforts	NOUN	11	nsubj
11	have	AUX	11	aux
12	gone	VERB	5	ccomp
13	beyond	SCONJ	15	mark
14	what	PRON	15	nsubj
15	is	AUX	15	cop
16	safe	ADJ	11	advcl
17	or	CCONJ	21	cc
18	even	ADV	21	advmod
19	in	ADP	21	case
20	its	PRON	21	nmod:poss
21	own	ADJ	21	amod
22	interests	NOUN	15	conj
23	.	PUNCT	5	punct