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:
Narbona tampoco ahorró críticas a Tocino: "Ocupa el último lugar en las encuestas de popularidad por su incapacidad para resolver un problema primordial como las restricciones de agua, que ya afectan a 150.000 españoles".
Postion	Tokenization
1	Narbona
2	tampoco
3	ahorró
4	críticas
5	a
6	Tocino
7	:
8	"
9	Ocupa
10	el
11	último
12	lugar
13	en
14	las
15	encuestas
16	de
17	popularidad
18	por
19	su
20	incapacidad
21	para
22	resolver
23	un
24	problema
25	primordial
26	como
27	las
28	restricciones
29	de
30	agua
31	,
32	que
33	ya
34	afectan
35	a
36	150.000
37	españoles
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Narbona	PROPN	3	nsubj
2	tampoco	ADV	3	advmod
3	ahorró	VERB	0	root
4	críticas	NOUN	3	obj
5	a	ADP	6	case
6	Tocino	PROPN	4	nmod
7	:	PUNCT	9	punct
8	"	PUNCT	9	punct
9	Ocupa	VERB	3	advcl
10	el	DET	12	det
11	último	ADJ	12	amod
12	lugar	NOUN	9	obj
13	en	ADP	15	case
14	las	DET	15	det
15	encuestas	NOUN	12	nmod
16	de	ADP	17	case
17	popularidad	NOUN	15	nmod
18	por	ADP	20	case
19	su	DET	20	det
20	incapacidad	NOUN	9	obl
21	para	ADP	22	mark
22	resolver	VERB	20	acl
23	un	DET	24	det
24	problema	NOUN	22	obj
25	primordial	ADJ	24	amod
26	como	SCONJ	28	mark
27	las	DET	28	det
28	restricciones	NOUN	24	nmod
29	de	ADP	30	case
30	agua	NOUN	28	nmod
31	,	PUNCT	34	punct
32	que	PRON	34	nsubj
33	ya	ADV	34	advmod
34	afectan	VERB	28	acl
35	a	ADP	37	case
36	150.000	NUM	37	nummod
37	españoles	NOUN	34	obj
38	"	PUNCT	9	punct
39	.	PUNCT	3	punct