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:
Hopefully President Bush can accomplish these goals which will not only help strengthen our Chinese allies, but will also help fight the war on terror.
Postion	Tokenization
1	Hopefully
2	President
3	Bush
4	can
5	accomplish
6	these
7	goals
8	which
9	will
10	not
11	only
12	help
13	strengthen
14	our
15	Chinese
16	allies
17	,
18	but
19	will
20	also
21	help
22	fight
23	the
24	war
25	on
26	terror
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Hopefully	ADV	5	advmod
2	President	PROPN	5	nsubj
3	Bush	PROPN	2	flat
4	can	AUX	5	aux
5	accomplish	VERB	0	root
6	these	DET	7	det
7	goals	NOUN	5	obj
8	which	PRON	9	nsubj
9	will	AUX	7	acl:relcl
10	not	ADV	11	advmod
11	only	ADV	8	cc:preconj
12	help	VERB	9	xcomp
13	strengthen	VERB	12	ccomp
14	our	PRON	16	nmod:poss
15	Chinese	ADJ	16	amod
16	allies	NOUN	13	obj
17	,	PUNCT	21	punct
18	but	CCONJ	21	cc
19	will	AUX	21	aux
20	also	ADV	21	advmod
21	help	VERB	9	conj
22	fight	VERB	21	xcomp
23	the	DET	24	det
24	war	NOUN	22	obj
25	on	ADP	26	case
26	terror	NOUN	24	nmod
27	.	PUNCT	5	punct