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:
"Cuando un requerimiento judicial es tan ambiguo que desafía toda comprensión, éste es nulo e inaplicable", dice el documento de Microsoft presentado al juez.
Postion	Tokenization
1	"
2	Cuando
3	un
4	requerimiento
5	judicial
6	es
7	tan
8	ambiguo
9	que
10	desafía
11	toda
12	comprensión
13	,
14	éste
15	es
16	nulo
17	e
18	inaplicable
19	"
20	,
21	dice
22	el
23	documento
24	de
25	Microsoft
26	presentado
27	al
28	juez
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Cuando	SCONJ	8	mark
3	un	DET	4	det
4	requerimiento	NOUN	8	nsubj
5	judicial	ADJ	4	amod
6	es	AUX	8	cop
7	tan	ADV	8	advmod
8	ambiguo	ADJ	16	advcl
9	que	SCONJ	10	mark
10	desafía	VERB	8	advcl
11	toda	DET	12	det
12	comprensión	NOUN	10	obj
13	,	PUNCT	8	punct
14	éste	PRON	16	nsubj
15	es	AUX	16	cop
16	nulo	ADJ	21	ccomp
17	e	CCONJ	18	cc
18	inaplicable	ADJ	16	conj
19	"	PUNCT	16	punct
20	,	PUNCT	16	punct
21	dice	VERB	0	root
22	el	DET	23	det
23	documento	NOUN	21	nsubj
24	de	ADP	25	case
25	Microsoft	PROPN	23	nmod
26	presentado	ADJ	23	amod
27	al	ADP	28	case
28	juez	NOUN	26	obj
29	.	PUNCT	21	punct