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:
Desde el martes 24 las relaciones entre ambos se habían enturbiado a raíz de unas declaraciones realizadas por el diputado del Partido Nacionalista Vasco (PNV), que había acusado a la independentista catalana de corrupta por participar cobrando en tertulias radiofónicas.
Postion	Tokenization
1	Desde
2	el
3	martes
4	24
5	las
6	relaciones
7	entre
8	ambos
9	se
10	habían
11	enturbiado
12	a
13	raíz
14	de
15	unas
16	declaraciones
17	realizadas
18	por
19	el
20	diputado
21	del
22	Partido
23	Nacionalista
24	Vasco
25	(
26	PNV
27	)
28	,
29	que
30	había
31	acusado
32	a
33	la
34	independentista
35	catalana
36	de
37	corrupta
38	por
39	participar
40	cobrando
41	en
42	tertulias
43	radiofónicas
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	martes	NOUN	11	obl
4	24	NUM	3	compound
5	las	DET	6	det
6	relaciones	NOUN	11	nsubj
7	entre	ADP	8	case
8	ambos	NUM	6	nummod
9	se	PRON	11	expl:pv
10	habían	AUX	11	aux
11	enturbiado	VERB	0	root
12	a	ADP	16	case
13	raíz	NOUN	12	fixed
14	de	ADP	12	fixed
15	unas	DET	16	det
16	declaraciones	NOUN	11	obl
17	realizadas	ADJ	16	amod
18	por	ADP	20	case
19	el	DET	20	det
20	diputado	NOUN	17	obj
21	del	ADP	22	case
22	Partido	PROPN	20	nmod
23	Nacionalista	PROPN	22	flat
24	Vasco	PROPN	22	flat
25	(	PUNCT	26	punct
26	PNV	PROPN	22	flat
27	)	PUNCT	26	punct
28	,	PUNCT	31	punct
29	que	PRON	31	nsubj
30	había	AUX	31	aux
31	acusado	VERB	20	acl
32	a	ADP	34	case
33	la	DET	34	det
34	independentista	NOUN	31	obj
35	catalana	ADJ	34	amod
36	de	ADP	37	case
37	corrupta	ADJ	31	obj
38	por	ADP	39	mark
39	participar	VERB	37	acl
40	cobrando	VERB	39	xcomp
41	en	ADP	42	case
42	tertulias	NOUN	39	obl
43	radiofónicas	ADJ	42	amod
44	.	PUNCT	11	punct