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:
There are also some distracting background elements like the light fixture and what looks like a door handle on the left.
Postion	Tokenization
1	There
2	are
3	also
4	some
5	distracting
6	background
7	elements
8	like
9	the
10	light
11	fixture
12	and
13	what
14	looks
15	like
16	a
17	door
18	handle
19	on
20	the
21	left
22	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	are	VERB	0	root
3	also	ADV	2	advmod
4	some	DET	7	det
5	distracting	ADJ	7	amod
6	background	NOUN	7	compound
7	elements	NOUN	2	nsubj
8	like	ADP	11	case
9	the	DET	11	det
10	light	NOUN	11	compound
11	fixture	NOUN	7	nmod
12	and	CCONJ	13	cc
13	what	PRON	11	conj
14	looks	VERB	13	acl:relcl
15	like	ADP	18	case
16	a	DET	18	det
17	door	NOUN	18	compound
18	handle	NOUN	14	obl
19	on	ADP	21	case
20	the	DET	21	det
21	left	NOUN	18	nmod
22	.	PUNCT	2	punct