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:
He was referred to me by a friend, who didn't have the best experience with Ted, but said that Ted was able to make up for his lack of preparedness at the end.
Postion	Tokenization
1	He
2	was
3	referred
4	to
5	me
6	by
7	a
8	friend
9	,
10	who
11	didn't
12	did
13	n't
14	have
15	the
16	best
17	experience
18	with
19	Ted
20	,
21	but
22	said
23	that
24	Ted
25	was
26	able
27	to
28	make
29	up
30	for
31	his
32	lack
33	of
34	preparedness
35	at
36	the
37	end
38	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj:pass
2	was	AUX	3	aux:pass
3	referred	VERB	0	root
4	to	ADP	5	case
5	me	PRON	3	obl
6	by	ADP	8	case
7	a	DET	8	det
8	friend	NOUN	3	obl
9	,	PUNCT	8	punct
10	who	PRON	13	nsubj
11	didn't	_	None	_
12	did	AUX	13	aux
13	n't	PART	13	advmod
14	have	VERB	8	acl:relcl
15	the	DET	16	det
16	best	ADJ	16	amod
17	experience	NOUN	13	obj
18	with	ADP	18	case
19	Ted	PROPN	16	nmod
20	,	PUNCT	21	punct
21	but	CCONJ	21	cc
22	said	VERB	13	conj
23	that	SCONJ	25	mark
24	Ted	PROPN	25	nsubj
25	was	AUX	25	cop
26	able	ADJ	21	ccomp
27	to	PART	27	mark
28	make	VERB	25	xcomp
29	up	ADP	27	compound:prt
30	for	ADP	31	case
31	his	PRON	31	nmod:poss
32	lack	NOUN	27	obl
33	of	ADP	33	case
34	preparedness	NOUN	31	nmod
35	at	ADP	36	case
36	the	DET	36	det
37	end	NOUN	27	obl
38	.	PUNCT	3	punct