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:
Gracias a la tecnología, a la división y organización del trabajo, a la acumulación de conocimientos y experiencias, el trabajo se ha ido humanizando y perdiendo el carácter de maldición divina.
Postion	Tokenization
1	Gracias
2	a
3	la
4	tecnología
5	,
6	a
7	la
8	división
9	y
10	organización
11	del
12	trabajo
13	,
14	a
15	la
16	acumulación
17	de
18	conocimientos
19	y
20	experiencias
21	,
22	el
23	trabajo
24	se
25	ha
26	ido
27	humanizando
28	y
29	perdiendo
30	el
31	carácter
32	de
33	maldición
34	divina
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Gracias	NOUN	4	case
2	a	ADP	1	fixed
3	la	DET	4	det
4	tecnología	NOUN	27	obl
5	,	PUNCT	8	punct
6	a	ADP	8	case
7	la	DET	8	det
8	división	NOUN	4	conj
9	y	CCONJ	10	cc
10	organización	NOUN	8	conj
11	del	ADP	12	case
12	trabajo	NOUN	10	nmod
13	,	PUNCT	16	punct
14	a	ADP	16	case
15	la	DET	16	det
16	acumulación	NOUN	4	conj
17	de	ADP	18	case
18	conocimientos	NOUN	16	nmod
19	y	CCONJ	20	cc
20	experiencias	NOUN	18	conj
21	,	PUNCT	4	punct
22	el	DET	23	det
23	trabajo	NOUN	27	nsubj
24	se	PRON	27	expl:pass
25	ha	AUX	27	aux
26	ido	AUX	27	aux
27	humanizando	VERB	0	root
28	y	CCONJ	29	cc
29	perdiendo	VERB	27	conj
30	el	DET	31	det
31	carácter	NOUN	29	obj
32	de	ADP	33	case
33	maldición	NOUN	31	nmod
34	divina	ADJ	33	amod
35	.	PUNCT	27	punct