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:
Por su parte, el director ejecutivo de Algroup, Sergio Marchionne, dijo que "la nueva compañía estará en mejor posición para servir las necesidades de sus clientes".
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	el
6	director
7	ejecutivo
8	de
9	Algroup
10	,
11	Sergio
12	Marchionne
13	,
14	dijo
15	que
16	"
17	la
18	nueva
19	compañía
20	estará
21	en
22	mejor
23	posición
24	para
25	servir
26	las
27	necesidades
28	de
29	sus
30	clientes
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	14	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	director	NOUN	14	nsubj
7	ejecutivo	ADJ	6	amod
8	de	ADP	9	case
9	Algroup	PROPN	6	nmod
10	,	PUNCT	11	punct
11	Sergio	PROPN	6	appos
12	Marchionne	PROPN	11	flat
13	,	PUNCT	11	punct
14	dijo	VERB	0	root
15	que	SCONJ	23	mark
16	"	PUNCT	23	punct
17	la	DET	19	det
18	nueva	ADJ	19	amod
19	compañía	NOUN	23	nsubj
20	estará	AUX	23	cop
21	en	ADP	23	case
22	mejor	ADJ	23	amod
23	posición	NOUN	14	ccomp
24	para	ADP	25	mark
25	servir	VERB	23	acl
26	las	DET	27	det
27	necesidades	NOUN	25	obj
28	de	ADP	30	case
29	sus	DET	30	det
30	clientes	NOUN	27	nmod
31	"	PUNCT	23	punct
32	.	PUNCT	14	punct