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: In a few words ... I'm pleasantly surprised that you can still find "old school" service out there where company care more about good name and customers than their pockets...
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	a	DET	4	det
3	few	ADJ	4	amod
4	words	NOUN	9	obl
5	...	PUNCT	9	punct
6	I'm	_	None	_
7	I	PRON	9	nsubj
8	'm	AUX	9	cop
9	pleasantly	ADV	9	advmod
10	surprised	ADJ	0	root
11	that	SCONJ	14	mark
12	you	PRON	14	nsubj
13	can	AUX	14	aux
14	still	ADV	14	advmod
15	find	VERB	9	ccomp
16	"	PUNCT	17	punct
17	old	ADJ	17	amod
18	school	NOUN	19	compound
19	"	PUNCT	17	punct
20	service	NOUN	14	obj
21	out	ADV	21	advmod
22	there	ADV	14	advmod
23	where	SCONJ	24	mark
24	company	NOUN	24	nsubj
25	care	VERB	14	advcl
26	more	ADV	24	advmod
27	about	ADP	28	case
28	good	ADJ	28	amod
29	name	NOUN	24	obl
30	and	CCONJ	30	cc
31	customers	NOUN	28	conj
32	than	ADP	33	case
33	their	PRON	33	nmod:poss
34	pockets	NOUN	25	obl
35	...	PUNCT	9	punct