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 took the weekend off and came in and asked for the manager who is Jeff and he remembered her right away even remembered her dog, I was a bit shocked that someone would pay that close attention.
Postion	Tokenization
1	I
2	took
3	the
4	weekend
5	off
6	and
7	came
8	in
9	and
10	asked
11	for
12	the
13	manager
14	who
15	is
16	Jeff
17	and
18	he
19	remembered
20	her
21	right
22	away
23	even
24	remembered
25	her
26	dog
27	,
28	I
29	was
30	a
31	bit
32	shocked
33	that
34	someone
35	would
36	pay
37	that
38	close
39	attention
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	took	VERB	0	root
3	the	DET	4	det
4	weekend	NOUN	2	obj
5	off	ADP	2	compound:prt
6	and	CCONJ	7	cc
7	came	VERB	2	conj
8	in	ADV	7	advmod
9	and	CCONJ	10	cc
10	asked	VERB	7	conj
11	for	ADP	13	case
12	the	DET	13	det
13	manager	NOUN	10	obl
14	who	PRON	16	nsubj
15	is	AUX	16	cop
16	Jeff	PROPN	13	acl:relcl
17	and	CCONJ	19	cc
18	he	PRON	19	nsubj
19	remembered	VERB	2	conj
20	her	PRON	19	obj
21	right	ADV	22	advmod
22	away	ADV	19	advmod
23	even	ADV	24	advmod
24	remembered	VERB	19	conj
25	her	PRON	26	nmod:poss
26	dog	NOUN	24	obj
27	,	PUNCT	2	punct
28	I	PRON	32	nsubj
29	was	AUX	32	cop
30	a	DET	31	det
31	bit	NOUN	32	obl:npmod
32	shocked	ADJ	24	parataxis
33	that	SCONJ	36	mark
34	someone	PRON	36	nsubj
35	would	AUX	36	aux
36	pay	VERB	32	ccomp
37	that	ADV	38	advmod
38	close	ADJ	39	amod
39	attention	NOUN	36	obj
40	.	PUNCT	2	punct