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 testimonio del ecónomo chocó en varios puntos con la versión que ofreció la semana pasada Javier Valenzuela, ex delegado de Gescartera en Valladolid y ex director de Economía en la Junta de Castilla y León cuando la presidía José María Aznar.
Postion	Tokenization
1	El
2	testimonio
3	del
4	ecónomo
5	chocó
6	en
7	varios
8	puntos
9	con
10	la
11	versión
12	que
13	ofreció
14	la
15	semana
16	pasada
17	Javier
18	Valenzuela
19	,
20	ex
21	delegado
22	de
23	Gescartera
24	en
25	Valladolid
26	y
27	ex
28	director
29	de
30	Economía
31	en
32	la
33	Junta
34	de
35	Castilla
36	y
37	León
38	cuando
39	la
40	presidía
41	José
42	María
43	Aznar
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	testimonio	NOUN	5	nsubj
3	del	ADP	4	case
4	ecónomo	NOUN	2	nmod
5	chocó	VERB	0	root
6	en	ADP	8	case
7	varios	DET	8	det
8	puntos	NOUN	5	obl
9	con	ADP	11	case
10	la	DET	11	det
11	versión	NOUN	5	obl
12	que	PRON	13	obj
13	ofreció	VERB	11	acl
14	la	DET	15	det
15	semana	NOUN	13	obl
16	pasada	ADJ	15	amod
17	Javier	PROPN	13	nsubj
18	Valenzuela	PROPN	17	flat
19	,	PUNCT	21	punct
20	ex	ADJ	21	amod
21	delegado	NOUN	17	appos
22	de	ADP	23	case
23	Gescartera	PROPN	21	nmod
24	en	ADP	25	case
25	Valladolid	PROPN	21	nmod
26	y	CCONJ	28	cc
27	ex	ADJ	28	amod
28	director	NOUN	21	conj
29	de	ADP	30	case
30	Economía	PROPN	28	nmod
31	en	ADP	33	case
32	la	DET	33	det
33	Junta	PROPN	28	nmod
34	de	ADP	35	case
35	Castilla	PROPN	33	flat
36	y	CCONJ	37	cc
37	León	PROPN	35	conj
38	cuando	SCONJ	40	mark
39	la	PRON	40	obj
40	presidía	VERB	28	acl
41	José	PROPN	40	nsubj
42	María	PROPN	41	flat
43	Aznar	PROPN	41	flat
44	.	PUNCT	5	punct