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:
"Lejos de privar a Lázaro González de sus derechos de apelar, hemos tratado de asegurar sus intereses de obtener una revisión en la corte de apelaciones", expresó.
Postion	Tokenization
1	"
2	Lejos
3	de
4	privar
5	a
6	Lázaro
7	González
8	de
9	sus
10	derechos
11	de
12	apelar
13	,
14	hemos
15	tratado
16	de
17	asegurar
18	sus
19	intereses
20	de
21	obtener
22	una
23	revisión
24	en
25	la
26	corte
27	de
28	apelaciones
29	"
30	,
31	expresó
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	15	punct
2	Lejos	ADV	15	advmod
3	de	ADP	4	mark
4	privar	VERB	2	advcl
5	a	ADP	6	case
6	Lázaro	PROPN	4	obj
7	González	PROPN	6	flat
8	de	ADP	10	case
9	sus	DET	10	det
10	derechos	NOUN	4	obj
11	de	ADP	12	mark
12	apelar	VERB	10	acl
13	,	PUNCT	2	punct
14	hemos	AUX	15	aux
15	tratado	VERB	31	xcomp
16	de	ADP	17	mark
17	asegurar	VERB	15	xcomp
18	sus	DET	19	det
19	intereses	NOUN	17	obj
20	de	ADP	21	mark
21	obtener	VERB	19	acl
22	una	DET	23	det
23	revisión	NOUN	21	obj
24	en	ADP	26	case
25	la	DET	26	det
26	corte	NOUN	21	obl
27	de	ADP	28	case
28	apelaciones	NOUN	26	nmod
29	"	PUNCT	15	punct
30	,	PUNCT	15	punct
31	expresó	VERB	0	root
32	.	PUNCT	31	punct