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:
They can also be very beautiful when the purple heather is out, and they are habitat to much wildlife and many species of wildflowers.
Postion	Tokenization
1	They
2	can
3	also
4	be
5	very
6	beautiful
7	when
8	the
9	purple
10	heather
11	is
12	out
13	,
14	and
15	they
16	are
17	habitat
18	to
19	much
20	wildlife
21	and
22	many
23	species
24	of
25	wildflowers
26	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	6	nsubj
2	can	AUX	6	aux
3	also	ADV	6	advmod
4	be	AUX	6	cop
5	very	ADV	6	advmod
6	beautiful	ADJ	0	root
7	when	SCONJ	12	mark
8	the	DET	10	det
9	purple	ADJ	10	amod
10	heather	NOUN	12	nsubj
11	is	AUX	12	cop
12	out	ADV	6	advcl
13	,	PUNCT	17	punct
14	and	CCONJ	17	cc
15	they	PRON	17	nsubj
16	are	AUX	17	cop
17	habitat	NOUN	6	conj
18	to	ADP	20	case
19	much	ADJ	20	amod
20	wildlife	NOUN	17	nmod
21	and	CCONJ	23	cc
22	many	ADJ	23	amod
23	species	NOUN	20	conj
24	of	ADP	25	case
25	wildflowers	NOUN	23	nmod
26	.	PUNCT	6	punct