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:
Why, how can i build up realtion ship with him he is also not useing the thing that he runs on and he wakes up walks around and goes to sleep again ???
Postion	Tokenization
1	Why
2	,
3	how
4	can
5	i
6	build
7	up
8	realtion
9	ship
10	with
11	him
12	he
13	is
14	also
15	not
16	useing
17	the
18	thing
19	that
20	he
21	runs
22	on
23	and
24	he
25	wakes
26	up
27	walks
28	around
29	and
30	goes
31	to
32	sleep
33	again
34	???
Position	Tokenization	UPOS	Head	Deprel
1	Why	ADV	3	advmod
2	,	PUNCT	3	punct
3	how	ADV	6	advmod
4	can	AUX	6	aux
5	i	PRON	6	nsubj
6	build	VERB	0	root
7	up	ADP	6	compound:prt
8	realtion	X	6	obj
9	ship	NOUN	8	goeswith
10	with	ADP	11	case
11	him	PRON	8	nmod
12	he	PRON	16	nsubj
13	is	AUX	16	aux
14	also	ADV	16	advmod
15	not	PART	16	advmod
16	useing	VERB	6	parataxis
17	the	DET	18	det
18	thing	NOUN	16	obj
19	that	PRON	21	obl
20	he	PRON	21	nsubj
21	runs	VERB	18	acl:relcl
22	on	ADP	19	case
23	and	CCONJ	25	cc
24	he	PRON	25	nsubj
25	wakes	VERB	16	conj
26	up	ADP	25	compound:prt
27	walks	VERB	25	conj
28	around	ADV	27	advmod
29	and	CCONJ	30	cc
30	goes	VERB	25	conj
31	to	PART	32	mark
32	sleep	VERB	30	advcl
33	again	ADV	30	advmod
34	???	PUNCT	16	punct