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:
Pursuing a successful career, along with the usual social and financial advantages, will be easier this year than it has in a long time for you, Leo!
Postion	Tokenization
1	Pursuing
2	a
3	successful
4	career
5	,
6	along
7	with
8	the
9	usual
10	social
11	and
12	financial
13	advantages
14	,
15	will
16	be
17	easier
18	this
19	year
20	than
21	it
22	has
23	in
24	a
25	long
26	time
27	for
28	you
29	,
30	Leo
31	!
Position	Tokenization	UPOS	Head	Deprel
1	Pursuing	VERB	17	csubj
2	a	DET	4	det
3	successful	ADJ	4	amod
4	career	NOUN	1	obj
5	,	PUNCT	17	punct
6	along	ADP	13	case
7	with	ADP	13	case
8	the	DET	13	det
9	usual	ADJ	13	amod
10	social	ADJ	13	amod
11	and	CCONJ	12	cc
12	financial	ADJ	10	conj
13	advantages	NOUN	17	obl
14	,	PUNCT	17	punct
15	will	AUX	17	aux
16	be	AUX	17	cop
17	easier	ADJ	0	root
18	this	DET	19	det
19	year	NOUN	17	obl:tmod
20	than	SCONJ	26	mark
21	it	PRON	26	nsubj
22	has	AUX	26	aux
23	in	ADP	26	case
24	a	DET	26	det
25	long	ADJ	26	amod
26	time	NOUN	17	advcl
27	for	ADP	28	case
28	you	PRON	17	obl
29	,	PUNCT	17	punct
30	Leo	PROPN	17	vocative
31	!	PUNCT	17	punct