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:
Mal Del Pierio, al que Ancelotti (Carlo, técnico juventino) pone en la izquierda, donde falla los pases más simples y nunca resulta incisivo ", añade.
Postion	Tokenization
1	Mal
2	Del
3	Pierio
4	,
5	al
6	que
7	Ancelotti
8	(
9	Carlo
10	,
11	técnico
12	juventino
13	)
14	pone
15	en
16	la
17	izquierda
18	,
19	donde
20	falla
21	los
22	pases
23	más
24	simples
25	y
26	nunca
27	resulta
28	incisivo
29	"
30	,
31	añade
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Mal	PROPN	31	obj
2	Del	ADP	3	case
3	Pierio	PROPN	1	flat
4	,	PUNCT	14	punct
5	al	ADP	6	case
6	que	PRON	14	obj
7	Ancelotti	PROPN	14	nsubj
8	(	PUNCT	9	punct
9	Carlo	PROPN	7	flat
10	,	PUNCT	11	punct
11	técnico	NOUN	9	appos
12	juventino	ADJ	11	amod
13	)	PUNCT	9	punct
14	pone	VERB	1	acl
15	en	ADP	17	case
16	la	DET	17	det
17	izquierda	NOUN	14	obl
18	,	PUNCT	20	punct
19	donde	SCONJ	20	mark
20	falla	VERB	14	advcl
21	los	DET	22	det
22	pases	NOUN	20	obj
23	más	ADV	24	advmod
24	simples	ADJ	22	amod
25	y	CCONJ	27	cc
26	nunca	ADV	27	advmod
27	resulta	VERB	20	conj
28	incisivo	ADJ	27	obj
29	"	PUNCT	1	punct
30	,	PUNCT	1	punct
31	añade	VERB	0	root
32	.	PUNCT	31	punct