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:
"Yo soy americano y esto me ha dolido tanto como a ellos", asegura un sirio que ha recibido amenazas de muerte a las que ha respondido con un discurso sobre lo fácil e inútil que es matar.
Postion	Tokenization
1	"
2	Yo
3	soy
4	americano
5	y
6	esto
7	me
8	ha
9	dolido
10	tanto
11	como
12	a
13	ellos
14	"
15	,
16	asegura
17	un
18	sirio
19	que
20	ha
21	recibido
22	amenazas
23	de
24	muerte
25	a
26	las
27	que
28	ha
29	respondido
30	con
31	un
32	discurso
33	sobre
34	lo
35	fácil
36	e
37	inútil
38	que
39	es
40	matar
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Yo	PRON	4	nsubj
3	soy	AUX	4	cop
4	americano	ADJ	16	ccomp
5	y	CCONJ	9	cc
6	esto	PRON	9	nsubj
7	me	PRON	9	iobj
8	ha	AUX	9	aux
9	dolido	VERB	4	conj
10	tanto	ADV	9	advmod
11	como	SCONJ	13	mark
12	a	ADP	13	case
13	ellos	PRON	10	obl
14	"	PUNCT	4	punct
15	,	PUNCT	4	punct
16	asegura	VERB	0	root
17	un	DET	18	det
18	sirio	NOUN	16	nsubj
19	que	PRON	21	nsubj
20	ha	AUX	21	aux
21	recibido	VERB	18	acl
22	amenazas	NOUN	21	obj
23	de	ADP	24	case
24	muerte	NOUN	22	nmod
25	a	ADP	27	case
26	las	DET	27	det
27	que	PRON	29	obj
28	ha	AUX	29	aux
29	respondido	VERB	22	acl
30	con	ADP	32	case
31	un	DET	32	det
32	discurso	NOUN	29	obl
33	sobre	ADP	38	case
34	lo	PRON	38	det
35	fácil	ADJ	38	amod
36	e	CCONJ	37	cc
37	inútil	ADJ	35	conj
38	que	PRON	32	acl
39	es	AUX	38	cop
40	matar	VERB	38	csubj
41	.	PUNCT	16	punct