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: I have a friend that has to get rid of one of her cats because of allergies, he is the youngest at 3 years old black, long hair, incredibly friendly.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	4	det
4	friend	NOUN	2	obj
5	that	PRON	6	nsubj
6	has	VERB	4	acl:relcl
7	to	PART	8	mark
8	get	VERB	6	xcomp
9	rid	ADJ	8	xcomp
10	of	ADP	11	case
11	one	NUM	9	obl
12	of	ADP	14	case
13	her	PRON	14	nmod:poss
14	cats	NOUN	11	nmod
15	because	ADP	17	case
16	of	ADP	15	fixed
17	allergies	NOUN	9	obl
18	,	PUNCT	2	punct
19	he	PRON	22	nsubj
20	is	AUX	22	cop
21	the	DET	22	det
22	youngest	ADJ	2	parataxis
23	at	ADP	26	case
24	3	NUM	25	nummod
25	years	NOUN	26	obl:npmod
26	old	ADJ	22	obl
27	black	ADJ	22	parataxis
28	,	PUNCT	22	punct
29	long	ADJ	30	amod
30	hair	NOUN	22	parataxis
31	,	PUNCT	22	punct
32	incredibly	ADV	33	parataxis
33	friendly	ADJ	22	amod
34	.	PUNCT	2	punct