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:
Esta agresión ha demostrado que el primer ministro francés no sólo ha perdido un tanto en la batalla que le enfrenta a Chirac, sino que se ha visto desbordado por las consecuencias de su propia acción".
Postion	Tokenization
1	Esta
2	agresión
3	ha
4	demostrado
5	que
6	el
7	primer
8	ministro
9	francés
10	no
11	sólo
12	ha
13	perdido
14	un
15	tanto
16	en
17	la
18	batalla
19	que
20	le
21	enfrenta
22	a
23	Chirac
24	,
25	sino
26	que
27	se
28	ha
29	visto
30	desbordado
31	por
32	las
33	consecuencias
34	de
35	su
36	propia
37	acción
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	agresión	NOUN	4	nsubj
3	ha	AUX	4	aux
4	demostrado	VERB	0	root
5	que	SCONJ	13	mark
6	el	DET	8	det
7	primer	ADJ	8	amod
8	ministro	NOUN	13	nsubj
9	francés	ADJ	8	amod
10	no	PART	13	advmod
11	sólo	ADV	10	fixed
12	ha	AUX	13	aux
13	perdido	VERB	4	ccomp
14	un	DET	15	det
15	tanto	NOUN	13	obj
16	en	ADP	18	case
17	la	DET	18	det
18	batalla	NOUN	13	obl
19	que	PRON	21	nsubj
20	le	PRON	21	obj
21	enfrenta	VERB	18	acl
22	a	ADP	23	case
23	Chirac	PROPN	21	obj
24	,	PUNCT	29	punct
25	sino	CCONJ	29	cc
26	que	SCONJ	25	fixed
27	se	PRON	29	expl:pv
28	ha	AUX	29	aux
29	visto	VERB	13	conj
30	desbordado	ADJ	29	obj
31	por	ADP	33	case
32	las	DET	33	det
33	consecuencias	NOUN	30	obl
34	de	ADP	37	case
35	su	DET	37	det
36	propia	DET	35	det
37	acción	NOUN	33	nmod
38	"	PUNCT	4	punct
39	.	PUNCT	4	punct