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:
Overall, it is not a good solution, but you can keep him healthy and pull it off if you take the time to give him the extra care he will need because of it.
Postion	Tokenization
1	Overall
2	,
3	it
4	is
5	not
6	a
7	good
8	solution
9	,
10	but
11	you
12	can
13	keep
14	him
15	healthy
16	and
17	pull
18	it
19	off
20	if
21	you
22	take
23	the
24	time
25	to
26	give
27	him
28	the
29	extra
30	care
31	he
32	will
33	need
34	because
35	of
36	it
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Overall	ADV	8	advmod
2	,	PUNCT	8	punct
3	it	PRON	8	nsubj
4	is	AUX	8	cop
5	not	PART	8	advmod
6	a	DET	8	det
7	good	ADJ	8	amod
8	solution	NOUN	0	root
9	,	PUNCT	13	punct
10	but	CCONJ	13	cc
11	you	PRON	13	nsubj
12	can	AUX	13	aux
13	keep	VERB	8	conj
14	him	PRON	13	obj
15	healthy	ADJ	13	xcomp
16	and	CCONJ	17	cc
17	pull	VERB	13	conj
18	it	PRON	17	obj
19	off	ADP	17	compound:prt
20	if	SCONJ	22	mark
21	you	PRON	22	nsubj
22	take	VERB	17	advcl
23	the	DET	24	det
24	time	NOUN	22	obj
25	to	PART	26	mark
26	give	VERB	22	advcl
27	him	PRON	26	iobj
28	the	DET	30	det
29	extra	ADJ	30	amod
30	care	NOUN	26	obj
31	he	PRON	33	nsubj
32	will	AUX	33	aux
33	need	VERB	30	acl:relcl
34	because	ADP	36	case
35	of	ADP	34	fixed
36	it	PRON	33	obl
37	.	PUNCT	8	punct