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:
El trabajo es la base de casi todo lo que necesita un ser humano hoy para ser una persona equilibrada, segura de sí misma, para disfrutar de la vida y ser feliz.
Postion	Tokenization
1	El
2	trabajo
3	es
4	la
5	base
6	de
7	casi
8	todo
9	lo
10	que
11	necesita
12	un
13	ser
14	humano
15	hoy
16	para
17	ser
18	una
19	persona
20	equilibrada
21	,
22	segura
23	de
24	sí
25	misma
26	,
27	para
28	disfrutar
29	de
30	la
31	vida
32	y
33	ser
34	feliz
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	trabajo	NOUN	5	nsubj
3	es	AUX	5	cop
4	la	DET	5	det
5	base	NOUN	0	root
6	de	ADP	11	mark
7	casi	ADV	9	advmod
8	todo	DET	9	det
9	lo	PRON	11	det
10	que	PRON	11	obj
11	necesita	VERB	5	acl
12	un	DET	13	det
13	ser	NOUN	11	nsubj
14	humano	ADJ	13	amod
15	hoy	ADV	11	advmod
16	para	ADP	19	mark
17	ser	AUX	19	cop
18	una	DET	19	det
19	persona	NOUN	11	advcl
20	equilibrada	ADJ	22	advmod
21	,	PUNCT	22	punct
22	segura	ADJ	19	amod
23	de	ADP	24	case
24	sí	PRON	22	nmod
25	misma	ADJ	24	amod
26	,	PUNCT	28	punct
27	para	ADP	28	mark
28	disfrutar	VERB	19	conj
29	de	ADP	31	case
30	la	DET	31	det
31	vida	NOUN	28	obj
32	y	CCONJ	34	cc
33	ser	AUX	34	cop
34	feliz	ADJ	28	conj
35	.	PUNCT	5	punct