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:
I have a basking spot lamp that says it is a double reflector that focuses 35% more light/heat and provides beneficial UVA rays important to the psycholical well-being of him.
Postion	Tokenization
1	I
2	have
3	a
4	basking
5	spot
6	lamp
7	that
8	says
9	it
10	is
11	a
12	double
13	reflector
14	that
15	focuses
16	35
17	%
18	more
19	light
20	/
21	heat
22	and
23	provides
24	beneficial
25	UVA
26	rays
27	important
28	to
29	the
30	psycholical
31	well
32	-
33	being
34	of
35	him
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	6	det
4	basking	NOUN	6	compound
5	spot	NOUN	6	compound
6	lamp	NOUN	2	obj
7	that	PRON	8	nsubj
8	says	VERB	6	acl:relcl
9	it	PRON	13	nsubj
10	is	AUX	13	cop
11	a	DET	13	det
12	double	ADJ	13	amod
13	reflector	NOUN	8	ccomp
14	that	PRON	15	nsubj
15	focuses	VERB	13	acl:relcl
16	35	NUM	17	nummod
17	%	SYM	18	obl:npmod
18	more	ADJ	19	amod
19	light	ADJ	15	obj
20	/	PUNCT	21	cc
21	heat	NOUN	19	conj
22	and	CCONJ	23	cc
23	provides	VERB	13	conj
24	beneficial	ADJ	26	amod
25	UVA	NOUN	26	compound
26	rays	NOUN	23	obj
27	important	ADJ	26	amod
28	to	ADP	33	case
29	the	DET	33	det
30	psycholical	ADJ	33	amod
31	well	ADJ	33	amod
32	-	PUNCT	33	punct
33	being	NOUN	27	obl
34	of	ADP	35	case
35	him	PRON	33	nmod
36	.	PUNCT	2	punct