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:
Manuel Allué, de CATAC, coincidió con Navarro en subrayar: "La mejor aportación que pueden hacer a la política penitenciaria es marcharse a casa".
Postion	Tokenization
1	Manuel
2	Allué
3	,
4	de
5	CATAC
6	,
7	coincidió
8	con
9	Navarro
10	en
11	subrayar
12	:
13	"
14	La
15	mejor
16	aportación
17	que
18	pueden
19	hacer
20	a
21	la
22	política
23	penitenciaria
24	es
25	marcharse
26	marchar
27	se
28	a
29	casa
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Manuel	PROPN	7	nsubj
2	Allué	PROPN	1	flat
3	,	PUNCT	5	punct
4	de	ADP	5	case
5	CATAC	PROPN	1	nmod
6	,	PUNCT	5	punct
7	coincidió	VERB	0	root
8	con	ADP	9	case
9	Navarro	PROPN	7	obl
10	en	ADP	11	mark
11	subrayar	VERB	7	xcomp
12	:	PUNCT	24	punct
13	"	PUNCT	24	punct
14	La	DET	16	det
15	mejor	ADJ	16	amod
16	aportación	NOUN	24	nsubj
17	que	PRON	19	obj
18	pueden	AUX	19	aux
19	hacer	VERB	16	acl
20	a	ADP	22	case
21	la	DET	22	det
22	política	NOUN	19	obj
23	penitenciaria	ADJ	22	amod
24	es	AUX	11	ccomp
25	marcharse	_	None	_
26	marchar	VERB	24	ccomp
27	se	PRON	25	expl:pv
28	a	ADP	28	case
29	casa	NOUN	25	obl
30	"	PUNCT	24	punct
31	.	PUNCT	7	punct