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 text: The problem is that customers attracted by a simple interface are among the least loyal you can find -- witness the fight-for-fewest-features between low-end camera companies.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	problem	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	15	mark
5	customers	NOUN	15	nsubj
6	attracted	VERB	5	acl
7	by	ADP	10	case
8	a	DET	10	det
9	simple	ADJ	10	amod
10	interface	NOUN	6	obl
11	are	AUX	15	cop
12	among	ADP	15	case
13	the	DET	15	det
14	least	ADV	15	advmod
15	loyal	ADJ	3	ccomp
16	you	PRON	18	nsubj
17	can	AUX	18	aux
18	find	VERB	15	acl:relcl
19	--	PUNCT	3	punct
20	witness	VERB	3	parataxis
21	the	DET	22	det
22	fight	NOUN	20	obj
23	-	PUNCT	22	punct
24	for	ADP	28	case
25	-	PUNCT	28	punct
26	fewest	ADJ	28	amod
27	-	PUNCT	28	punct
28	features	NOUN	22	nmod
29	between	ADP	34	case
30	low	ADJ	32	amod
31	-	PUNCT	32	punct
32	end	NOUN	34	compound
33	camera	NOUN	34	compound
34	companies	NOUN	22	nmod
35	.	PUNCT	3	punct