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 team who work there are helpfull, friendly and extremely knowledgeable and will help you as much as they can with thier years of hands on practice.
Postion	Tokenization
1	The
2	team
3	who
4	work
5	there
6	are
7	helpfull
8	,
9	friendly
10	and
11	extremely
12	knowledgeable
13	and
14	will
15	help
16	you
17	as
18	much
19	as
20	they
21	can
22	with
23	thier
24	years
25	of
26	hands
27	on
28	practice
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	team	NOUN	7	nsubj
3	who	PRON	4	nsubj
4	work	VERB	2	acl:relcl
5	there	ADV	4	advmod
6	are	AUX	7	cop
7	helpfull	ADJ	0	root
8	,	PUNCT	9	punct
9	friendly	ADJ	7	conj
10	and	CCONJ	12	cc
11	extremely	ADV	12	advmod
12	knowledgeable	ADJ	7	conj
13	and	CCONJ	15	cc
14	will	AUX	15	aux
15	help	VERB	7	conj
16	you	PRON	15	obj
17	as	ADV	18	advmod
18	much	ADV	15	advmod
19	as	SCONJ	21	mark
20	they	PRON	21	nsubj
21	can	AUX	17	advcl
22	with	ADP	24	case
23	thier	PRON	24	nmod:poss
24	years	NOUN	15	obl
25	of	ADP	28	case
26	hands	NOUN	28	compound
27	on	ADV	26	compound
28	practice	NOUN	24	nmod
29	.	PUNCT	7	punct