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 server we had was knowledgeable but he was not as proper as he should have been, acting like he was talking to his friends rather than his customers.
Postion	Tokenization
1	The
2	server
3	we
4	had
5	was
6	knowledgeable
7	but
8	he
9	was
10	not
11	as
12	proper
13	as
14	he
15	should
16	have
17	been
18	,
19	acting
20	like
21	he
22	was
23	talking
24	to
25	his
26	friends
27	rather
28	than
29	his
30	customers
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	server	NOUN	6	nsubj
3	we	PRON	4	nsubj
4	had	VERB	2	acl:relcl
5	was	AUX	6	cop
6	knowledgeable	ADJ	0	root
7	but	CCONJ	12	cc
8	he	PRON	12	nsubj
9	was	AUX	12	cop
10	not	PART	12	advmod
11	as	ADV	12	advmod
12	proper	ADJ	6	conj
13	as	SCONJ	17	mark
14	he	PRON	17	nsubj
15	should	AUX	17	aux
16	have	AUX	17	aux
17	been	VERB	11	advcl
18	,	PUNCT	12	punct
19	acting	VERB	6	parataxis
20	like	SCONJ	23	mark
21	he	PRON	23	nsubj
22	was	AUX	23	aux
23	talking	VERB	19	advcl
24	to	ADP	26	case
25	his	PRON	26	nmod:poss
26	friends	NOUN	23	obl
27	rather	ADV	30	cc
28	than	ADP	27	fixed
29	his	PRON	30	nmod:poss
30	customers	NOUN	26	conj
31	.	PUNCT	6	punct