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:
Mientras que los responsables de Hacienda serían favorables a la inclusión de esas profesiones, sus colegas de Justicia no lo verían con buenos ojos.
Postion	Tokenization
1	Mientras
2	que
3	los
4	responsables
5	de
6	Hacienda
7	serían
8	favorables
9	a
10	la
11	inclusión
12	de
13	esas
14	profesiones
15	,
16	sus
17	colegas
18	de
19	Justicia
20	no
21	lo
22	verían
23	con
24	buenos
25	ojos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	8	cc
2	que	SCONJ	1	fixed
3	los	DET	4	det
4	responsables	NOUN	8	nsubj
5	de	ADP	6	case
6	Hacienda	PROPN	4	nmod
7	serían	AUX	8	cop
8	favorables	ADJ	0	root
9	a	ADP	11	case
10	la	DET	11	det
11	inclusión	NOUN	8	nmod
12	de	ADP	14	case
13	esas	DET	14	det
14	profesiones	NOUN	11	nmod
15	,	PUNCT	8	punct
16	sus	DET	17	det
17	colegas	NOUN	22	nsubj
18	de	ADP	19	case
19	Justicia	PROPN	17	nmod
20	no	ADV	22	advmod
21	lo	PRON	22	obj
22	verían	VERB	8	advcl
23	con	ADP	25	case
24	buenos	ADJ	25	amod
25	ojos	NOUN	22	obl
26	.	PUNCT	8	punct