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:
Desde el inicio del debate, moderado por el periodista Jim Lehrer, los dos políticos se enzarzaron en un intercambio de ataques por sus posiciones en la reforma sanitaria del país.
Postion	Tokenization
1	Desde
2	el
3	inicio
4	del
5	debate
6	,
7	moderado
8	por
9	el
10	periodista
11	Jim
12	Lehrer
13	,
14	los
15	dos
16	políticos
17	se
18	enzarzaron
19	en
20	un
21	intercambio
22	de
23	ataques
24	por
25	sus
26	posiciones
27	en
28	la
29	reforma
30	sanitaria
31	del
32	país
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	inicio	NOUN	18	obl
4	del	ADP	5	case
5	debate	NOUN	3	nmod
6	,	PUNCT	7	punct
7	moderado	ADJ	5	amod
8	por	ADP	10	case
9	el	DET	10	det
10	periodista	NOUN	7	obj
11	Jim	PROPN	10	appos
12	Lehrer	PROPN	11	flat
13	,	PUNCT	7	punct
14	los	DET	16	det
15	dos	NUM	14	nummod
16	políticos	NOUN	18	nsubj
17	se	PRON	18	expl:pv
18	enzarzaron	VERB	0	root
19	en	ADP	21	case
20	un	DET	21	det
21	intercambio	NOUN	18	obj
22	de	ADP	23	case
23	ataques	NOUN	21	nmod
24	por	ADP	26	case
25	sus	DET	26	det
26	posiciones	NOUN	23	nmod
27	en	ADP	29	case
28	la	DET	29	det
29	reforma	NOUN	26	nmod
30	sanitaria	ADJ	29	amod
31	del	ADP	32	case
32	país	NOUN	29	nmod
33	.	PUNCT	18	punct