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:
El portavoz del Gobierno se ha mostrado contento con la sentencia y ha añadido que eso demuestra que desde hace mucho ésa es la auténtica bandera nacional.
Postion	Tokenization
1	El
2	portavoz
3	del
4	Gobierno
5	se
6	ha
7	mostrado
8	contento
9	con
10	la
11	sentencia
12	y
13	ha
14	añadido
15	que
16	eso
17	demuestra
18	que
19	desde
20	hace
21	mucho
22	ésa
23	es
24	la
25	auténtica
26	bandera
27	nacional
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	7	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	se	PRON	7	expl:pv
6	ha	AUX	7	aux
7	mostrado	VERB	0	root
8	contento	ADJ	7	obj
9	con	ADP	11	case
10	la	DET	11	det
11	sentencia	NOUN	7	obl
12	y	CCONJ	14	cc
13	ha	AUX	14	aux
14	añadido	VERB	7	conj
15	que	SCONJ	17	mark
16	eso	PRON	17	nsubj
17	demuestra	VERB	14	ccomp
18	que	SCONJ	26	mark
19	desde	ADP	20	mark
20	hace	VERB	26	advcl
21	mucho	ADV	20	obj
22	ésa	PRON	26	nsubj
23	es	AUX	26	cop
24	la	DET	26	det
25	auténtica	ADJ	26	amod
26	bandera	NOUN	17	ccomp
27	nacional	ADJ	26	amod
28	.	PUNCT	7	punct