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 bien hecho genera autoestima y, no en último lugar, llena nuestras horas del día de ideas positivas y pensamientos constructivos.
Postion	Tokenization
1	El
2	trabajo
3	bien
4	hecho
5	genera
6	autoestima
7	y
8	,
9	no
10	en
11	último
12	lugar
13	,
14	llena
15	nuestras
16	horas
17	del
18	día
19	de
20	ideas
21	positivas
22	y
23	pensamientos
24	constructivos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	trabajo	NOUN	5	nsubj
3	bien	ADV	4	advmod
4	hecho	ADJ	2	amod
5	genera	VERB	0	root
6	autoestima	NOUN	5	obj
7	y	CCONJ	14	cc
8	,	PUNCT	9	punct
9	no	ADV	14	advmod
10	en	ADP	9	case
11	último	ADJ	12	amod
12	lugar	NOUN	9	obl
13	,	PUNCT	9	punct
14	llena	VERB	5	conj
15	nuestras	DET	16	det
16	horas	NOUN	14	obj
17	del	ADP	18	case
18	día	NOUN	16	nmod
19	de	ADP	20	case
20	ideas	NOUN	14	obj
21	positivas	ADJ	20	amod
22	y	CCONJ	23	cc
23	pensamientos	NOUN	20	conj
24	constructivos	ADJ	23	amod
25	.	PUNCT	5	punct