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 fantasma del traspaso ya comenzó a rondar en la cabeza de Steinbrenner, que ve con buenos ojos la posibilidad de conseguir a Jim Edmonds de los Angelinos de Anaheim.
Postion	Tokenization
1	El
2	fantasma
3	del
4	traspaso
5	ya
6	comenzó
7	a
8	rondar
9	en
10	la
11	cabeza
12	de
13	Steinbrenner
14	,
15	que
16	ve
17	con
18	buenos
19	ojos
20	la
21	posibilidad
22	de
23	conseguir
24	a
25	Jim
26	Edmonds
27	de
28	los
29	Angelinos
30	de
31	Anaheim
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fantasma	NOUN	6	nsubj
3	del	ADP	4	case
4	traspaso	NOUN	2	nmod
5	ya	ADV	6	advmod
6	comenzó	VERB	0	root
7	a	ADP	8	mark
8	rondar	VERB	6	xcomp
9	en	ADP	11	case
10	la	DET	11	det
11	cabeza	NOUN	6	obl
12	de	ADP	13	case
13	Steinbrenner	PROPN	11	nmod
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	ve	VERB	13	acl
17	con	ADP	19	case
18	buenos	ADJ	19	amod
19	ojos	NOUN	16	obj
20	la	DET	21	det
21	posibilidad	NOUN	16	obj
22	de	ADP	23	mark
23	conseguir	VERB	21	acl
24	a	ADP	25	case
25	Jim	PROPN	23	obj
26	Edmonds	PROPN	25	flat
27	de	ADP	29	case
28	los	DET	29	det
29	Angelinos	PROPN	25	nmod
30	de	ADP	31	case
31	Anaheim	PROPN	29	flat
32	.	PUNCT	6	punct