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:
Mucho antes del boom inmobiliario de la sociedad de consumo de fin del siglo XX, sus antepasados subieron al carro de caballos para que toda clase de enseres acompañara a sus dueños.
Postion	Tokenization
1	Mucho
2	antes
3	del
4	boom
5	inmobiliario
6	de
7	la
8	sociedad
9	de
10	consumo
11	de
12	fin
13	del
14	siglo
15	XX
16	,
17	sus
18	antepasados
19	subieron
20	al
21	carro
22	de
23	caballos
24	para
25	que
26	toda
27	clase
28	de
29	enseres
30	acompañara
31	a
32	sus
33	dueños
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Mucho	ADV	2	advmod
2	antes	ADV	19	advmod
3	del	ADP	4	case
4	boom	NOUN	2	obl
5	inmobiliario	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	sociedad	NOUN	4	nmod
9	de	ADP	10	case
10	consumo	NOUN	8	nmod
11	de	ADP	12	case
12	fin	NOUN	8	nmod
13	del	ADP	14	case
14	siglo	NOUN	12	nmod
15	XX	NOUN	14	compound
16	,	PUNCT	2	punct
17	sus	DET	18	det
18	antepasados	NOUN	19	nsubj
19	subieron	VERB	0	root
20	al	ADP	21	case
21	carro	NOUN	19	obl
22	de	ADP	23	case
23	caballos	NOUN	21	nmod
24	para	ADP	30	mark
25	que	SCONJ	30	mark
26	toda	DET	27	det
27	clase	NOUN	30	nsubj
28	de	ADP	29	case
29	enseres	NOUN	27	nmod
30	acompañara	VERB	19	advcl
31	a	ADP	33	case
32	sus	DET	33	det
33	dueños	NOUN	30	obj
34	.	PUNCT	19	punct