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 secretario de Defensa de EEUU, Donald Rumsfeld, criticó a Irán, Siria e Irak por respaldar a terroristas y contribuir a aumentar la violencia en Oriente Próximo.
Postion	Tokenization
1	El
2	secretario
3	de
4	Defensa
5	de
6	EEUU
7	,
8	Donald
9	Rumsfeld
10	,
11	criticó
12	a
13	Irán
14	,
15	Siria
16	e
17	Irak
18	por
19	respaldar
20	a
21	terroristas
22	y
23	contribuir
24	a
25	aumentar
26	la
27	violencia
28	en
29	Oriente
30	Próximo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	11	nsubj
3	de	ADP	4	case
4	Defensa	PROPN	2	nmod
5	de	ADP	6	case
6	EEUU	PROPN	2	nmod
7	,	PUNCT	8	punct
8	Donald	PROPN	2	appos
9	Rumsfeld	PROPN	8	flat
10	,	PUNCT	8	punct
11	criticó	VERB	0	root
12	a	ADP	13	case
13	Irán	PROPN	11	obj
14	,	PUNCT	15	punct
15	Siria	PROPN	13	conj
16	e	CCONJ	17	cc
17	Irak	PROPN	13	conj
18	por	ADP	19	mark
19	respaldar	VERB	11	advcl
20	a	ADP	21	case
21	terroristas	NOUN	19	obj
22	y	CCONJ	23	cc
23	contribuir	VERB	19	conj
24	a	ADP	25	mark
25	aumentar	VERB	23	xcomp
26	la	DET	27	det
27	violencia	NOUN	25	obj
28	en	ADP	29	case
29	Oriente	PROPN	25	obl
30	Próximo	ADJ	29	flat
31	.	PUNCT	11	punct