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 jefe del Estado ha pedido paciencia y calma a la población, pues está seguro de que en el corto plazo se verán los resultados de los ajustes y los beneficios sociales.
Postion	Tokenization
1	El
2	jefe
3	del
4	Estado
5	ha
6	pedido
7	paciencia
8	y
9	calma
10	a
11	la
12	población
13	,
14	pues
15	está
16	seguro
17	de
18	que
19	en
20	el
21	corto
22	plazo
23	se
24	verán
25	los
26	resultados
27	de
28	los
29	ajustes
30	y
31	los
32	beneficios
33	sociales
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jefe	NOUN	6	nsubj
3	del	ADP	4	case
4	Estado	PROPN	2	nmod
5	ha	AUX	6	aux
6	pedido	VERB	0	root
7	paciencia	NOUN	6	obj
8	y	CCONJ	9	cc
9	calma	NOUN	7	conj
10	a	ADP	12	case
11	la	DET	12	det
12	población	NOUN	6	obj
13	,	PUNCT	16	punct
14	pues	SCONJ	16	mark
15	está	AUX	16	cop
16	seguro	ADJ	6	advcl
17	de	ADP	24	mark
18	que	SCONJ	24	mark
19	en	ADP	22	case
20	el	DET	22	det
21	corto	ADJ	22	amod
22	plazo	NOUN	24	obl
23	se	PRON	24	expl:pass
24	verán	VERB	16	acl
25	los	DET	26	det
26	resultados	NOUN	24	nsubj
27	de	ADP	29	case
28	los	DET	29	det
29	ajustes	NOUN	26	nmod
30	y	CCONJ	32	cc
31	los	DET	32	det
32	beneficios	NOUN	26	conj
33	sociales	ADJ	32	amod
34	.	PUNCT	6	punct