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:
Este es el mandato que nosotros interpretamos que recibíamos y que, sin pérdida de tiempo, me dispuse a impulsar desde el Parlament.
Postion	Tokenization
1	Este
2	es
3	el
4	mandato
5	que
6	nosotros
7	interpretamos
8	que
9	recibíamos
10	y
11	que
12	,
13	sin
14	pérdida
15	de
16	tiempo
17	,
18	me
19	dispuse
20	a
21	impulsar
22	desde
23	el
24	Parlament
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	4	nsubj
2	es	AUX	4	cop
3	el	DET	4	det
4	mandato	NOUN	0	root
5	que	PRON	7	iobj
6	nosotros	PRON	7	nsubj
7	interpretamos	VERB	4	acl
8	que	SCONJ	9	mark
9	recibíamos	VERB	7	ccomp
10	y	CCONJ	19	cc
11	que	PRON	19	iobj
12	,	PUNCT	14	punct
13	sin	ADP	14	case
14	pérdida	NOUN	19	obl
15	de	ADP	16	case
16	tiempo	NOUN	14	nmod
17	,	PUNCT	14	punct
18	me	PRON	19	expl:pv
19	dispuse	VERB	7	conj
20	a	ADP	21	mark
21	impulsar	VERB	19	xcomp
22	desde	ADP	24	case
23	el	DET	24	det
24	Parlament	PROPN	21	obl
25	.	PUNCT	4	punct