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:
My dogs are far from perfect, and one of them I believe would be a little much for daycare here herself (at least initially).
Postion	Tokenization
1	My
2	dogs
3	are
4	far
5	from
6	perfect
7	,
8	and
9	one
10	of
11	them
12	I
13	believe
14	would
15	be
16	a
17	little
18	much
19	for
20	daycare
21	here
22	herself
23	(
24	at
25	least
26	initially
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	dogs	NOUN	4	nsubj
3	are	AUX	4	cop
4	far	ADV	0	root
5	from	ADP	6	case
6	perfect	ADJ	4	obl
7	,	PUNCT	18	punct
8	and	CCONJ	18	cc
9	one	NUM	18	nsubj
10	of	ADP	11	case
11	them	PRON	9	nmod
12	I	PRON	13	nsubj
13	believe	VERB	18	parataxis
14	would	AUX	18	aux
15	be	AUX	18	cop
16	a	DET	18	det
17	little	ADJ	18	amod
18	much	ADJ	4	conj
19	for	ADP	20	case
20	daycare	NOUN	18	obl
21	here	ADV	20	advmod
22	herself	PRON	18	obl:npmod
23	(	PUNCT	24	punct
24	at	ADV	18	advmod
25	least	ADV	24	fixed
26	initially	ADV	24	advmod
27	)	PUNCT	24	punct
28	.	PUNCT	4	punct