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:
The dangers implicit in any attack upon that nation, however, seem to significantly offset whatever gains could be made in the so-called "War on Terror."
Postion	Tokenization
1	The
2	dangers
3	implicit
4	in
5	any
6	attack
7	upon
8	that
9	nation
10	,
11	however
12	,
13	seem
14	to
15	significantly
16	offset
17	whatever
18	gains
19	could
20	be
21	made
22	in
23	the
24	so
25	-
26	called
27	"
28	War
29	on
30	Terror
31	.
32	"
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	dangers	NOUN	13	nsubj
3	implicit	ADJ	2	amod
4	in	ADP	6	case
5	any	DET	6	det
6	attack	NOUN	3	obl
7	upon	ADP	9	case
8	that	DET	9	det
9	nation	NOUN	6	nmod
10	,	PUNCT	13	punct
11	however	ADV	13	advmod
12	,	PUNCT	13	punct
13	seem	VERB	0	root
14	to	PART	16	mark
15	significantly	ADV	16	advmod
16	offset	VERB	13	xcomp
17	whatever	DET	18	det
18	gains	NOUN	16	obj
19	could	AUX	21	aux
20	be	AUX	21	aux:pass
21	made	VERB	18	acl:relcl
22	in	ADP	28	case
23	the	DET	28	det
24	so	ADV	26	advmod
25	-	PUNCT	26	punct
26	called	VERB	28	amod
27	"	PUNCT	28	punct
28	War	NOUN	21	obl
29	on	ADP	30	case
30	Terror	NOUN	28	nmod
31	.	PUNCT	13	punct
32	"	PUNCT	13	punct