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:
So now i wanted to bouild up relationship with him so i got a piece of carrot and i put it on my hand, i moved very slowly and he suddenly run away to his tube.
Postion	Tokenization
1	So
2	now
3	i
4	wanted
5	to
6	bouild
7	up
8	relationship
9	with
10	him
11	so
12	i
13	got
14	a
15	piece
16	of
17	carrot
18	and
19	i
20	put
21	it
22	on
23	my
24	hand
25	,
26	i
27	moved
28	very
29	slowly
30	and
31	he
32	suddenly
33	run
34	away
35	to
36	his
37	tube
38	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	4	advmod
2	now	ADV	4	advmod
3	i	PRON	4	nsubj
4	wanted	VERB	0	root
5	to	PART	6	mark
6	bouild	VERB	4	xcomp
7	up	ADP	6	compound:prt
8	relationship	NOUN	6	obj
9	with	ADP	10	case
10	him	PRON	8	nmod
11	so	ADV	13	advmod
12	i	PRON	13	nsubj
13	got	VERB	4	parataxis
14	a	DET	15	det
15	piece	NOUN	13	obj
16	of	ADP	17	case
17	carrot	NOUN	15	nmod
18	and	CCONJ	20	cc
19	i	PRON	20	nsubj
20	put	VERB	13	conj
21	it	PRON	20	obj
22	on	ADP	24	case
23	my	PRON	24	nmod:poss
24	hand	NOUN	20	obl
25	,	PUNCT	13	punct
26	i	PRON	27	nsubj
27	moved	VERB	13	parataxis
28	very	ADV	29	advmod
29	slowly	ADV	27	advmod
30	and	CCONJ	33	cc
31	he	PRON	33	nsubj
32	suddenly	ADV	33	advmod
33	run	VERB	13	conj
34	away	ADV	33	advmod
35	to	ADP	37	case
36	his	PRON	37	nmod:poss
37	tube	NOUN	33	obl
38	.	PUNCT	4	punct