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:
Ricardo Lagos dijo que en las próximas horas llamaría personalmente a José María Aznar, para expresarle sus felicitaciones por el gran triunfo electoral del Partido Popular, que gobernará España con mayoría absoluta durante los próximos cuatro años.
Postion	Tokenization
1	Ricardo
2	Lagos
3	dijo
4	que
5	en
6	las
7	próximas
8	horas
9	llamaría
10	personalmente
11	a
12	José
13	María
14	Aznar
15	,
16	para
17	expresarle
18	expresar
19	le
20	sus
21	felicitaciones
22	por
23	el
24	gran
25	triunfo
26	electoral
27	del
28	Partido
29	Popular
30	,
31	que
32	gobernará
33	España
34	con
35	mayoría
36	absoluta
37	durante
38	los
39	próximos
40	cuatro
41	años
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Ricardo	PROPN	3	nsubj
2	Lagos	PROPN	1	flat
3	dijo	VERB	0	root
4	que	SCONJ	9	mark
5	en	ADP	8	case
6	las	DET	8	det
7	próximas	ADJ	8	amod
8	horas	NOUN	9	obl
9	llamaría	VERB	3	ccomp
10	personalmente	ADV	9	advmod
11	a	ADP	12	case
12	José	PROPN	9	obj
13	María	PROPN	12	flat
14	Aznar	PROPN	12	flat
15	,	PUNCT	17	punct
16	para	ADP	17	mark
17	expresarle	_	None	_
18	expresar	VERB	9	advcl
19	le	PRON	17	obj
20	sus	DET	20	det
21	felicitaciones	NOUN	17	obj
22	por	ADP	24	case
23	el	DET	24	det
24	gran	ADJ	24	amod
25	triunfo	NOUN	17	obl
26	electoral	ADJ	24	amod
27	del	ADP	27	case
28	Partido	PROPN	24	nmod
29	Popular	PROPN	27	flat
30	,	PUNCT	31	punct
31	que	PRON	31	nsubj
32	gobernará	VERB	27	acl
33	España	PROPN	31	obj
34	con	ADP	34	case
35	mayoría	NOUN	31	obl
36	absoluta	ADJ	34	amod
37	durante	ADP	40	case
38	los	DET	40	det
39	próximos	ADJ	37	amod
40	cuatro	NUM	37	nummod
41	años	NOUN	31	obl
42	.	PUNCT	3	punct