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:
The people there attempt to come across and professional and nice, but I was disappointed with their customer service.
Postion	Tokenization
1	The
2	people
3	there
4	attempt
5	to
6	come
7	across
8	and
9	professional
10	and
11	nice
12	,
13	but
14	I
15	was
16	disappointed
17	with
18	their
19	customer
20	service
21	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	people	NOUN	4	nsubj
3	there	ADV	2	advmod
4	attempt	VERB	0	root
5	to	PART	6	mark
6	come	VERB	4	xcomp
7	across	ADV	6	advmod
8	and	ADP	9	case
9	professional	ADJ	6	obl
10	and	CCONJ	11	cc
11	nice	ADJ	9	conj
12	,	PUNCT	16	punct
13	but	CCONJ	16	cc
14	I	PRON	16	nsubj
15	was	AUX	16	cop
16	disappointed	ADJ	4	conj
17	with	ADP	20	case
18	their	PRON	20	nmod:poss
19	customer	NOUN	20	compound
20	service	NOUN	16	obl
21	.	PUNCT	4	punct