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:
This tug-of-war over calculating economic values is the one that ultimately will have to be decided by humans, because animals and plants can adjust only so much.
Postion	Tokenization
1	This
2	tug
3	-
4	of
5	-
6	war
7	over
8	calculating
9	economic
10	values
11	is
12	the
13	one
14	that
15	ultimately
16	will
17	have
18	to
19	be
20	decided
21	by
22	humans
23	,
24	because
25	animals
26	and
27	plants
28	can
29	adjust
30	only
31	so
32	much
33	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	tug	NOUN	13	nsubj
3	-	PUNCT	2	punct
4	of	ADP	6	case
5	-	PUNCT	6	punct
6	war	NOUN	2	nmod
7	over	SCONJ	8	mark
8	calculating	VERB	2	acl
9	economic	ADJ	10	amod
10	values	NOUN	8	obj
11	is	AUX	13	cop
12	the	DET	13	det
13	one	NOUN	0	root
14	that	PRON	17	nsubj
15	ultimately	ADV	17	advmod
16	will	AUX	17	aux
17	have	VERB	13	acl:relcl
18	to	PART	20	mark
19	be	AUX	20	aux:pass
20	decided	VERB	17	xcomp
21	by	ADP	22	case
22	humans	NOUN	20	obl
23	,	PUNCT	17	punct
24	because	SCONJ	29	mark
25	animals	NOUN	29	nsubj
26	and	CCONJ	27	cc
27	plants	NOUN	25	conj
28	can	AUX	29	aux
29	adjust	VERB	17	advcl
30	only	ADV	31	advmod
31	so	ADV	32	advmod
32	much	ADV	29	advmod
33	.	PUNCT	13	punct