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:
On the one hand, the IPN report agreed "Climate models generally predict that the temperature rises in the Arctic will substantially exceed the global rise.
Postion	Tokenization
1	On
2	the
3	one
4	hand
5	,
6	the
7	IPN
8	report
9	agreed
10	"
11	Climate
12	models
13	generally
14	predict
15	that
16	the
17	temperature
18	rises
19	in
20	the
21	Arctic
22	will
23	substantially
24	exceed
25	the
26	global
27	rise
28	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	4	case
2	the	DET	4	det
3	one	NUM	4	nummod
4	hand	NOUN	9	obl
5	,	PUNCT	9	punct
6	the	DET	8	det
7	IPN	PROPN	8	compound
8	report	NOUN	9	nsubj
9	agreed	VERB	0	root
10	"	PUNCT	9	punct
11	Climate	NOUN	12	compound
12	models	NOUN	14	nsubj
13	generally	ADV	14	advmod
14	predict	VERB	9	ccomp
15	that	SCONJ	24	mark
16	the	DET	18	det
17	temperature	NOUN	18	compound
18	rises	NOUN	24	nsubj
19	in	ADP	21	case
20	the	DET	21	det
21	Arctic	PROPN	18	nmod
22	will	AUX	24	aux
23	substantially	ADV	24	advmod
24	exceed	VERB	14	ccomp
25	the	DET	27	det
26	global	ADJ	27	amod
27	rise	NOUN	24	obj
28	.	PUNCT	9	punct