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:
Añadió en declaraciones a la citada emisora que en el País Vasco, "con esa política no se puede avanzar, y mi pronóstico es muy pesimista.
Postion	Tokenization
1	Añadió
2	en
3	declaraciones
4	a
5	la
6	citada
7	emisora
8	que
9	en
10	el
11	País
12	Vasco
13	,
14	"
15	con
16	esa
17	política
18	no
19	se
20	puede
21	avanzar
22	,
23	y
24	mi
25	pronóstico
26	es
27	muy
28	pesimista
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Añadió	VERB	0	root
2	en	ADP	3	case
3	declaraciones	NOUN	1	obl
4	a	ADP	7	case
5	la	DET	7	det
6	citada	ADJ	7	amod
7	emisora	NOUN	3	nmod
8	que	SCONJ	21	mark
9	en	ADP	11	case
10	el	DET	11	det
11	País	PROPN	21	obl
12	Vasco	PROPN	11	flat
13	,	PUNCT	21	punct
14	"	PUNCT	21	punct
15	con	ADP	17	case
16	esa	DET	17	det
17	política	NOUN	21	obl
18	no	ADV	21	advmod
19	se	PRON	21	expl:impers
20	puede	AUX	21	aux
21	avanzar	VERB	1	xcomp
22	,	PUNCT	28	punct
23	y	CCONJ	28	cc
24	mi	DET	25	det
25	pronóstico	NOUN	28	nsubj
26	es	AUX	28	cop
27	muy	ADV	28	advmod
28	pesimista	ADJ	21	conj
29	.	PUNCT	1	punct