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:
Bloom Legal was really attentive to my problem, and Seth Bloom took the time to help me understand the legal issue I was dealing with.
Postion	Tokenization
1	Bloom
2	Legal
3	was
4	really
5	attentive
6	to
7	my
8	problem
9	,
10	and
11	Seth
12	Bloom
13	took
14	the
15	time
16	to
17	help
18	me
19	understand
20	the
21	legal
22	issue
23	I
24	was
25	dealing
26	with
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Bloom	PROPN	5	nsubj
2	Legal	PROPN	1	flat
3	was	AUX	5	cop
4	really	ADV	5	advmod
5	attentive	ADJ	0	root
6	to	ADP	8	case
7	my	PRON	8	nmod:poss
8	problem	NOUN	5	obl
9	,	PUNCT	13	punct
10	and	CCONJ	13	cc
11	Seth	PROPN	13	nsubj
12	Bloom	PROPN	11	flat
13	took	VERB	5	conj
14	the	DET	15	det
15	time	NOUN	13	obj
16	to	PART	17	mark
17	help	VERB	15	acl
18	me	PRON	17	obj
19	understand	VERB	17	xcomp
20	the	DET	22	det
21	legal	ADJ	22	amod
22	issue	NOUN	19	obj
23	I	PRON	25	nsubj
24	was	AUX	25	aux
25	dealing	VERB	22	acl:relcl
26	with	ADP	25	obl
27	.	PUNCT	5	punct