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 presidente, Ricardo Lagos, en tanto, aseguró hoy que están dadas las condiciones para avanzar tanto en los problemas que afectan directamente a la gente, como en las reformas constitucionales.
Postion	Tokenization
1	El
2	presidente
3	,
4	Ricardo
5	Lagos
6	,
7	en
8	tanto
9	,
10	aseguró
11	hoy
12	que
13	están
14	dadas
15	las
16	condiciones
17	para
18	avanzar
19	tanto
20	en
21	los
22	problemas
23	que
24	afectan
25	directamente
26	a
27	la
28	gente
29	,
30	como
31	en
32	las
33	reformas
34	constitucionales
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	10	nsubj
3	,	PUNCT	4	punct
4	Ricardo	PROPN	2	appos
5	Lagos	PROPN	4	flat
6	,	PUNCT	4	punct
7	en	ADP	10	advmod
8	tanto	NOUN	7	fixed
9	,	PUNCT	7	punct
10	aseguró	VERB	0	root
11	hoy	ADV	10	advmod
12	que	SCONJ	14	mark
13	están	AUX	14	cop
14	dadas	ADJ	10	ccomp
15	las	DET	16	det
16	condiciones	NOUN	14	nsubj
17	para	ADP	18	mark
18	avanzar	VERB	16	acl
19	tanto	ADV	22	cc
20	en	ADP	22	case
21	los	DET	22	det
22	problemas	NOUN	18	obl
23	que	PRON	24	nsubj
24	afectan	VERB	22	acl
25	directamente	ADV	24	advmod
26	a	ADP	28	case
27	la	DET	28	det
28	gente	NOUN	24	obj
29	,	PUNCT	33	punct
30	como	SCONJ	33	cc
31	en	ADP	33	case
32	las	DET	33	det
33	reformas	NOUN	22	conj
34	constitucionales	ADJ	33	amod
35	.	PUNCT	10	punct