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:
I got him back the first of the month and he had lost some weight but attributed that to be worked everyday (I expected him to drop some).
Postion	Tokenization
1	I
2	got
3	him
4	back
5	the
6	first
7	of
8	the
9	month
10	and
11	he
12	had
13	lost
14	some
15	weight
16	but
17	attributed
18	that
19	to
20	be
21	worked
22	everyday
23	(
24	I
25	expected
26	him
27	to
28	drop
29	some
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	got	VERB	0	root
3	him	PRON	2	obj
4	back	ADV	2	advmod
5	the	DET	6	det
6	first	NOUN	2	obl:tmod
7	of	ADP	9	case
8	the	DET	9	det
9	month	NOUN	6	nmod
10	and	CCONJ	13	cc
11	he	PRON	13	nsubj
12	had	AUX	13	aux
13	lost	VERB	2	conj
14	some	DET	15	det
15	weight	NOUN	13	obj
16	but	CCONJ	17	cc
17	attributed	VERB	13	conj
18	that	PRON	17	obj
19	to	SCONJ	21	mark
20	be	AUX	21	aux:pass
21	worked	VERB	17	advcl
22	everyday	NOUN	21	obl:tmod
23	(	PUNCT	25	punct
24	I	PRON	25	nsubj
25	expected	VERB	17	parataxis
26	him	PRON	25	obj
27	to	PART	28	mark
28	drop	VERB	25	xcomp
29	some	DET	28	obj
30	)	PUNCT	25	punct
31	.	PUNCT	2	punct