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:
But the longer it takes us to understand the new landscape of this war, the more costly and painful the victory will be.
Postion	Tokenization
1	But
2	the
3	longer
4	it
5	takes
6	us
7	to
8	understand
9	the
10	new
11	landscape
12	of
13	this
14	war
15	,
16	the
17	more
18	costly
19	and
20	painful
21	the
22	victory
23	will
24	be
25	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	20	cc
2	the	DET	3	mark
3	longer	ADV	5	obj
4	it	PRON	5	expl
5	takes	VERB	17	advcl
6	us	PRON	5	obj
7	to	PART	8	mark
8	understand	VERB	5	csubj
9	the	DET	11	det
10	new	ADJ	11	amod
11	landscape	NOUN	8	obj
12	of	ADP	14	case
13	this	DET	14	det
14	war	NOUN	11	nmod
15	,	PUNCT	18	punct
16	the	DET	17	mark
17	more	ADV	18	advmod
18	costly	ADJ	0	root
19	and	CCONJ	20	cc
20	painful	ADJ	18	conj
21	the	DET	22	det
22	victory	NOUN	18	nsubj
23	will	AUX	18	aux
24	be	AUX	18	cop
25	.	PUNCT	18	punct