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:
Todas las ilusiones del doctor Meagher se hubiesen derrumbado como un castillo de naipes, de no ser por la máquina de Sutter.
Postion	Tokenization
1	Todas
2	las
3	ilusiones
4	del
5	doctor
6	Meagher
7	se
8	hubiesen
9	derrumbado
10	como
11	un
12	castillo
13	de
14	naipes
15	,
16	de
17	no
18	ser
19	por
20	la
21	máquina
22	de
23	Sutter
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Todas	DET	2	det
2	las	DET	3	det
3	ilusiones	NOUN	9	nsubj
4	del	ADP	5	case
5	doctor	NOUN	3	nmod
6	Meagher	PROPN	5	appos
7	se	PRON	9	expl:pv
8	hubiesen	AUX	9	aux
9	derrumbado	VERB	0	root
10	como	SCONJ	12	mark
11	un	DET	12	det
12	castillo	NOUN	9	obl
13	de	ADP	14	case
14	naipes	NOUN	12	nmod
15	,	PUNCT	21	punct
16	de	ADP	21	mark
17	no	ADV	21	advmod
18	ser	AUX	21	cop
19	por	ADP	21	case
20	la	DET	21	det
21	máquina	NOUN	9	advcl
22	de	ADP	23	case
23	Sutter	PROPN	21	nmod
24	.	PUNCT	9	punct