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:
"Todo el mundo está contento porque estamos hartos de su debilidad. Es un regalo que el presidente nos ha hecho este fin de año", estima Boris Kirilov, un actor de 60 años.
Postion	Tokenization
1	"
2	Todo
3	el
4	mundo
5	está
6	contento
7	porque
8	estamos
9	hartos
10	de
11	su
12	debilidad
13	.
14	Es
15	un
16	regalo
17	que
18	el
19	presidente
20	nos
21	ha
22	hecho
23	este
24	fin
25	de
26	año
27	"
28	,
29	estima
30	Boris
31	Kirilov
32	,
33	un
34	actor
35	de
36	60
37	años
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Todo	DET	3	det
3	el	DET	4	det
4	mundo	NOUN	6	nsubj
5	está	AUX	6	cop
6	contento	ADJ	29	ccomp
7	porque	SCONJ	9	mark
8	estamos	AUX	9	cop
9	hartos	ADJ	6	advcl
10	de	ADP	12	case
11	su	DET	12	det
12	debilidad	NOUN	9	nmod
13	.	PUNCT	6	punct
14	Es	AUX	16	cop
15	un	DET	16	det
16	regalo	NOUN	6	advcl
17	que	PRON	22	obj
18	el	DET	19	det
19	presidente	NOUN	22	nsubj
20	nos	PRON	22	iobj
21	ha	AUX	22	aux
22	hecho	VERB	16	acl
23	este	DET	24	det
24	fin	NOUN	22	obl
25	de	ADP	26	case
26	año	NOUN	24	nmod
27	"	PUNCT	6	punct
28	,	PUNCT	6	punct
29	estima	VERB	0	root
30	Boris	PROPN	29	nsubj
31	Kirilov	PROPN	30	flat
32	,	PUNCT	34	punct
33	un	DET	34	det
34	actor	NOUN	30	appos
35	de	ADP	37	case
36	60	NUM	37	nummod
37	años	NOUN	34	nmod
38	.	PUNCT	29	punct