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:
Its understandable recoil from wars, following the horrors of World War II, may cost thousands of additional innocent lives, before the tide will turn."
Postion	Tokenization
1	Its
2	understandable
3	recoil
4	from
5	wars
6	,
7	following
8	the
9	horrors
10	of
11	World
12	War
13	II
14	,
15	may
16	cost
17	thousands
18	of
19	additional
20	innocent
21	lives
22	,
23	before
24	the
25	tide
26	will
27	turn
28	.
29	"
Position	Tokenization	UPOS	Head	Deprel
1	Its	PRON	3	nmod:poss
2	understandable	ADJ	3	amod
3	recoil	NOUN	16	nsubj
4	from	ADP	5	case
5	wars	NOUN	3	nmod
6	,	PUNCT	3	punct
7	following	VERB	9	case
8	the	DET	9	det
9	horrors	NOUN	3	nmod
10	of	ADP	13	case
11	World	PROPN	13	compound
12	War	PROPN	13	compound
13	II	PROPN	9	nmod
14	,	PUNCT	16	punct
15	may	AUX	16	aux
16	cost	VERB	0	root
17	thousands	NOUN	16	obj
18	of	ADP	21	case
19	additional	ADJ	21	amod
20	innocent	ADJ	21	amod
21	lives	NOUN	17	nmod
22	,	PUNCT	16	punct
23	before	SCONJ	27	mark
24	the	DET	25	det
25	tide	NOUN	27	nsubj
26	will	AUX	27	aux
27	turn	VERB	16	advcl
28	.	PUNCT	16	punct
29	"	PUNCT	16	punct